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Writing a Business Analytics Masters Personal Statement

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For the most part, a business analytics masters personal statement serves as a self-description. Your educational background, career goals, plans, and accomplishments have shaped your professional path and are all essential to a personal statement.

Because it serves as the foundation upon which institutions pick or reject applicants, it is an essential component of the application package.

In this article, we’ll give examples and examine the elements that constitute a personal statement for Business Analytics.

What Is a Personal Statement for Business Analytics?

To apply for a job in business analytics, you’ll need to write a personal statement outlining your background, aspirations, and qualifications.

It is this statement that those in the admissions’ committee will read. It should cover your education, work history, passions, and aspirations.

The overall goal is to provide sufficient information to enable the admission officer to assess your fit into the business analytics program.

Points to Note When Writing a Personal Statement for a Masters in Analytics.

Accepting a Master’s in Business Analytics program can seem daunting. Here are a few points to note to help you write an effective personal statement:

  • Mention internships, volunteer work, and other forms of community service are additional ways to show your interest in and dedication to the field.
  • Be sure to highlight any relevant college courses you’ve taken, projects you’ve finished, accolades you’ve received, publications you’ve produced, or professional certifications you’ve earned.

Improve your chances by brushing up on the basics of analytics, such as;

  • Conducting research into best practices
  • Becoming acquainted with data models and applications,
  • Building problem-solving abilities
  • Mastering quantitative analysis tools.

Great Example of Business Analytics Masters Personal Statement

people sitting down near table with assorted laptop computers

This personal statement is a fantastic INK example of the type of content you should include in your personal statement.

A Master’s program in Business Analytics offers a unique opportunity to master the art of data-driven decision-making. It also enables professionals to make better business decisions and excel in their chosen fields.

As an experienced professional, I am keenly aware of blending rigorous analytical techniques with strategic insight and intuition. Therefore, pursuing a Masters Program in Business Analytics is the ideal platform to refine my skill set and broaden my expertise.

The invaluable education and experiences gained will equip me with relevant theoretical knowledge and hands-on practicals to unlock new insights. Moreover, the ability to write clear and concise reports after analyzing complex data sets will be vital for communicating results and actionable insights succinctly.

I believe my interpersonal skills, including excellent communication abilities, strong problem-solving aptitude, and creative thinking capabilities, allude to success in this field.

Additionally, my knack for working effectively in teams promises to optimize any collaborative projects during the program.

With these assets under my belt, I intend to leverage the interdisciplinary approach presented by the Business Analytics Masters Program. I aim to succeed in a world increasingly driven by data-informed decisions.

A business analytics masters personal statement can provide a lot of insight into a candidate’s passion and potential value to the school . It should be focused on the candidate’s perspective, interests, and achievements.

Writing a Business Analytics Masters Personal Statement

Abir Ghenaiet

Abir is a data analyst and researcher. Among her interests are artificial intelligence, machine learning, and natural language processing. As a humanitarian and educator, she actively supports women in tech and promotes diversity.

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Sample Personal Statement – Business Analytics

This is a good example of a Personal Statement for applying to a master’s program focusing on Business Analytics, Data Science and Marketing, or anything related to SEO.

If you need help writing your SOP or Personal Statement, check out our SOP Writing Service

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SOP for Business Analytics

dulingo

  • Updated on  
  • May 9, 2023

SOP for Business Analytics

A Statement of Purpose, as the name suggests, is your identity statement. Your academic qualifications, professional interests, plans, achievements, and what influenced your career so far, form an essential part of an SOP . This is the reason why it forms an integral part of the application package along with other documents like transcripts , letters of recommendation [ LOR ], resumes, etc as it becomes the basis for the universities to select or reject a candidate. For almost every course to study abroad , you will have to send an SOP along with other documents to your choice of universities. Here, in this blog, we will take a closer look at what an SOP for Business Analytics should look like. 

This Blog Includes:

What is a statement of purpose for business analytics , tips for writing an sop for business analytics , 10 details to remember, how to write an sop for business analytics, structure of sop for business analytics, what not to include in an sop for business analytics, skills to be included in the sop for business analytics, sample sop for business analytics, sop for ms in business analytics with work experience, mit sloan school of management, usa, texas mccombs school of business, usa, hec montreal, canada , mcgill desautels faculty of management, canada.

The business analytics statement of purpose is a two-page essay with 800-1500 words that describes your personality traits, career goals, pertinent skills, etc. With a 12-point font size, a black font colour, and double spacing in the margin, it has clean paragraphs. The SOP does not need to include your name or course information. try not to use bold, italics, and underlined fonts, unless it is very important.

The statement of purpose for business analytics is the paper that outlines why you are applying to a specific programme or college. It is the decision-maker content, which includes information about your interests, ambitions, and aspirations in addition to your academic and professional experience. The SOP is significant to the university’s admissions office since it justifies your goals of studying abroad.

Before writing an SOP for Business Analytics you should brainstorm all the possible ideas. This is the only opportunity for you to show the admission committee who you are outside of your academic performance. Storytelling is becoming an important part of various industries. You could use this as a part of your SOP for Business Analytics. Enlisted are some points you could follow to build an interesting SOP for Business Analytics:

  • Start by mentioning what you want to study at the University. Be specific about your choice and include all the possible factors for pursuing that particular course.
  • Why do you want to pursue that degree specifically? This could be your opportunity to explain why you are choosing that course at the University or how the work of some of the faculty members inspires you to pursue that program.
  • Detail the work experience you have in that particular field. What did you learn and what inspired you to pursue higher education in that particular field should be mentioned clearly.
  • Talk about college. Why do you want to get admission there specifically or certain details about the faculty members, global partnerships, etc? Explain how can you contribute to that university and what skills of yours can complement the requirements of their desired candidates.
  • Bring your personality traits into the SOP for Business Analytics. Discuss your hobbies, your interests, and your habits but make sure to keep it relevant to the overall point you’re trying to make. 

Writing SOP for business analytics requires a few considerations in order to be efficient. These suggestions will help you understand the intricacies to pay attention to when writing a sop for a business analytics course.

  • The information and details provided in the SOP for business analytics must be trustworthy.
  • Try to provide all of the necessary information within the word limit.
  • Exaggerating about the University or the course is not permitted.
  • The article must end on a good, encouraging note.
  • Make sure to include all of your academic information, technical talents, athletic activities, and so on.
  • Please explain why you want to take the business analytics course.
  • Explain how the business analytics course will help you advance in your job.
  • Check the document for originality before finalising your SOP for business analytics.
  • Your essay must be written in an innovative manner and contain significant content.
  • Stick to the usual SOP format and include legible content.

Now that you are familiar with some important tips and tricks to follow while drafting an SOP, let us look at some points that are crucial whilst writing an SOP. Framing and SOP keeping in mind the below-mentioned aspects will help you convey the best blend of academic journey as well as future aspirations. Here are the points to refer-

  • Your determination towards your goal and career.
  • Research skills
  • Analytical skills describe your ability to learn things and your attention to detail.
  • Ability to work in a team as well as individually.
  • Try to think outside the box as creative thinking can set you apart from others. But make sure you mention relevant things that can help your application stand out. 
  • Mention your school and college achievements. Go over the course and be very specific about why you want to pursue it while incorporating your work experience and explaining your work profile.
  • After stating your prior achievements and journey, do not forget to mention how your past experiences have helped you realise your passion for the Business world.
  • Write down any programming and analytical skills that add value to business planning. You can also speak about your previous projects related to Business Analytics.
  • SOP for Business Analytics should not be too formal. Your application will benefit from being interesting to read. The admission committees analyze all the determinants of personality.
  • The most important part of writing an SOP for Business Analytics is to be yourself, no matter what. Describe your abilities, your strengths and weakness es. You should be honest in presenting yourself so do not mention things that have not happened to you. Be real and trust that the admissions committee will see you for who you are.

Finally, after figuring out the general nature of writing an SOP for Business Analytics, start writing in such a way that they can get a view of your career step by step. The SOP for Business Analytics should reflect the course and it is a good idea to write it from a business point of view.

The form of the SOP for Business analytics should be appealing. You must begin with an introduction and then move on to the supporting content. While writing the SOP for business analytics, it is critical to keep the word count in mind. We have briefly explained the format of the SOP for the business analytics course for your convenience.

  • Introduction: Start your SOP with a quote or phrase which you passionately believe or follow. The readers will gain insight into your personality as a result of this.
  • First paragraph : Explain why you choose the university and programme in this paragraph. You can back up your claim with a personal incident or experience that influenced your line of study.
  • Second paragraph: In this paragraph, you will discuss the university. You will also explain how the business analytics course will assist you advance your profession.
  • Third paragraph: Use this paragraph to outline your short-term and long-term objectives. Your goals, as well as your motivation factor, can be described here.
  • Fourth paragraph: You will discuss your technical and soft skills needed for the business analytics course. You can also include information about your extracurricular activities and hobbies here.
  • Concluding paragraph: This is a crucial component because you will be summarising your overall SOP for business analytics here. You must take particular attention while writing this section because you will be discussing your career aspirations and future goals.
  • Do not exaggerate your strengths/weaknesses/abilities.
  • SOP for Business Analytics should be crisp, clear, and concise.
  • Do not forget to mention your weaknesses, the hurdles you faced during your job, and how you solved them.
  • Going beyond the word limit should be avoided.
  • Do not mention your family history, financial details, and all of your achievements.

You must showcase your talents in the SOP with pertinent supporting facts to grab the admissions committee’s attention right away. The following are a few of the abilities that might be mentioned in the SOP for business analytics:

  • Logical thinking
  • Decision making 
  • Visualization
  • Strategic planning
  • Business intelligence
  • Detail oriented and big-picture thinker
  • Programming languages
  • Statistical software

As a Business Administration graduate with a specialization in the field of Marketing , I have always been inclined towards how the rapidly globalized world has created immense opportunities for small and big businesses to expand and flourish. With the twenty-first century set in the zenith of social media and digital convergence, the new-age marketing arena has always enticed me and fuelled my curiosity towards how business analytics and marketing can come together to help every enterprise. 

Throughout my graduate studies, I have participated in activities and clubs that collaborated with local businesses which have helped me learn the ropes of marketing at an early stage. I have endeavoured to strengthen my foundation and reap experience in multiple domains of the business world. With the development and changes in the business sector, understanding consumer behaviours and patterns have become essential to increase your production and sales. 

Working in multiple creative industries like business management and marketing management has added to my understanding of the dynamics of the broader perspectives of society. I have also been influenced deeply by art and culture which have inclined me towards subjects like history, psychology , and modern science. These interests have greatly enlightened me to analyze and study the unique styles of communication, how people’s needs evolve with time, and most importantly; how they respond to these needs. This made me believe that the Business sector is not about basic finances and marketing but also about analytical thinking and a creative approach. Fortunately, the University of ____ offers a specialised Business Analytics program that can help me attain knowledge with a perfect blend of business and the necessary skills. 

In today’s globalized world of media and communication, it is essential to develop skills that allow one to pick from a plethora of techniques and utilize the latest technologies. Through the program at the University, I will also gain an international perspective of the world as it gets diverse with generations striving to unify and harmonize the complexities. Studying Business Analytics alongside international industries can reflect these trends to further equip my aspirations. 

This University can shape my personality and bestow the necessary skills that can facilitate my growth.  I sincerely focus on gaining more experience in Business Analytics with a holistic approach that is flexible and adaptable to shifts in society. I strongly believe in constant learning that will be fueled by my hunger for the vast knowledge the world possesses.

  • SOP is just as important as transcripts and financial documents if you intend to enrol in a university in the USA , Canada, UK , etc. Thus, when writing your SOP for an MS in business analytics with work experience, you must keep a few things in mind. You can review your SOP using the points listed below.
  • Clarify your professional background and experience. You are able to describe your employment responsibilities and accomplishments accomplished while working there. Ensure that you have creatively added all the business analytics courses necessary skills, courses, etc.
  • Don’t be direct when expressing your strengths, weaknesses, doubts, etc. Describe your enthusiasm for the business analytics course and provide any necessary justification. Some life experiences like project success, etc. can be used.
  • Your business analytics SOP shouldn’t be overly formal or casual. It must be written in an engaging style that will wow your audience.
  • The most important thing to remember while developing an SOP for business analytics is to be authentic. The paper has to highlight who you are and your qualifications for employment. Try to keep your content to the most crucial abilities or experiences. It could become too much if unnecessary information is crammed into the space. The selection committee might become disinterested in your content as a result.

SOP for Business Analytics for Top Universities

Here are the SOP for Business Analytics for the top business schools around the world:

  • The SOP must not exceed two pages and 500–1000 words in length
  • Describe what makes the university special and what drew you to MIT Sloan School of Management to further your study.
  • Give a succinct description of the projects and undergraduate studies.
  • Describe your long-term objectives and the steps you’re taking to get there.
  • Mention your training and courses that are related to the course.
  • The content must be original and free of common grammatical mistakes.
  • A business analytics SOP must be between one and two pages long.
  • Reliable facts must be presented in a creative manner with the content.
  • Your professional background and the projects you worked on while employed must be disclosed to the admissions committee of Texas McCombs School of Business in your SOP.
  • The course must be central to the material. The team might not be impressed by irrelevant content.
  • You can explain any gaps here if they are not addressed in your resume or curriculum vitae.
  • Mention your technical skills and soft skills that are relevant to your course.
  • The tone of the SOP material must be encouraging. You must give a short and clear explanation of the life experience that influenced your decision to enrol in the course.
  • The SOP must not exceed 800 to 1200 words in length.
  • The information provided in the SOP must be accurate. You must be able to provide documentation to back up your claims.
  • Talk about the driving force behind your decision to attend HEC Montreal .
  • Include details about your passion, abilities, and expertise that you can bring to the organisation.
  • Discuss the distinctive qualities of the university and how they will benefit your career.
  • Your individuality and character must be shown in your business analytics SOP for the university board.
  • Include information in the SOP about your extracurricular activities, sports hobbies, technical courses you’ve taken, etc.
  • You must include a separate PDF document in your upload that responds to the following questions: Why did you pick this course? How will McGill Desautels Faculty of Management, Canada help you reach your professional goals?
  • Discuss your efforts and experiences that prepared you for the course with the necessary experience.
  • Draw attention to all of your special abilities and talents that will help you succeed in the course.
  • The SOP can only be up to 1000 words long.

Ans. Tips for Writing an SOP for Business Analytics Start by mentioning what you want to study at the University. Why do you want to pursue that degree specifically? Detail the work experience you have in that particular field. Talk about college. Bring your personality traits into the SOP for Business Analytics.

Ans. In business analytics, the SOP should be 1-2 pages long. The content must be written in an innovative manner and based on credible data. The SOP must inform the admissions committee about your professional background and the projects you have worked on. The course must be central to the material.

Ans. I am a great candidate for the Business Analytics programme because of my strong academic record, as I graduated with honours in Electrical Engineering. My undergraduate studies provided me with considerable quantitative understanding and technical experience in a variety of engineering topics.

If you are looking for a course abroad and are confused about the admission process, we, at Leverage Edu can help your application stand out among others. We can provide the best guidance and support to make sure you get the right course at the right university. Get in touch with us at 1800-57-2000 and start living your dream today.

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Digvijay Singh

Having 2+ years of experience in educational content writing, withholding a Bachelor's in Physical Education and Sports Science and a strong interest in writing educational content for students enrolled in domestic and foreign study abroad programmes. I believe in offering a distinct viewpoint to the table, to help students deal with the complexities of both domestic and foreign educational systems. Through engaging storytelling and insightful analysis, I aim to inspire my readers to embark on their educational journeys, whether abroad or at home, and to make the most of every learning opportunity that comes their way.

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Sample Personal Statement in Artificial Intelligence

personal statement for business intelligence

by Talha Omer, MBA, M.Eng., Harvard & Cornell Grad

In personal statement samples by field.

The following personal statement is written by an applicant who got accepted to the doctorate program in Artificial Intelligence at Imperial College in London. Variations of this personal statement also got accepted at Caltech, UCLA, and Rutgers University. Read this essay to understand what a top personal statement in Artificial Intelligence should look like.

I’ve always had a penchant for creating things to solve problems. The first time my proclivity utilized computers was when I made a simple quiz program in Visual Basic for my school Mathematics class at age 11. I still remember the accomplishment I felt, followed by imaginative thoughts of what else I could do with a computer. In retrospect, this was probably when it was decided that computers would somehow be well-woven in my career.

I worked hard and gained admission to the country’s top-ranked engineering university, Caltech, where I performed exceptionally well in computing courses and particularly enjoyed the lab modules. During my studies, I wondered how everything I learned could be applied to deal with the current problems around me. My thoughts culminated in my final year project, where I developed a remote energy monitoring, profiling, and control system for smart grids to deal with the energy crisis in third-world countries. Designing and developing the prototype was an enthralling experience for me, leading me to choose a career in product development. I applied and was successfully offered a role at the Center for Advanced Research in Engineering (CARE). Since joining, I have been on the Software Defined Radio (SDR) project’s development team. As a result, I have gained a professional understanding of reliable technical coding for multiple platforms in various programming languages.

While working at CARE, I was sponsored for my graduate studies in Computer Engineering. Intrigued by articles on Artificial Intelligence (AI) in the MIT Technology Review magazine, I first formally studied Machine Learning (ML) in my graduate coursework. Although I was initially skeptical, primarily due to my ignorance of the field, the futuristic subject captivated me by its applicability to modern problems. My enthusiasm led me to work on an experimental project of a human crowd motion classification system that intelligently detected panic states in crowds. The idea was that this would facilitate effective policing by automating the monitoring large numbers of live security feeds. The project helped me practice and develop my knowledge and further strengthened my interest in AI. AI is currently revolutionizing the industry with its applications in the healthcare to the automobile industry, providing exciting new avenues to explore. It is changing the world, and I want to be a part of that change.

My long-term goal is to be in a leading technical role in the industry utilizing specialist AI for consumer-driven applications. I am sure that my expertise in embedded systems will be helpful in this path. As the next step towards my aim, I’d like to build on my knowledge and study advanced AI concepts in a focused graduate degree. The specialist programs at Imperial College London are the most comprehensive in the UK. Moreover, London is the AI start-up hub of the UK, spawning companies like Deepmind, Babylon Health, and Verv. During my studies, I would also be on the lookout for part-time internship opportunities and possible industry collaborations while working on my master’s project to gain valuable industrial experience. Aside from academics, as an avid guitarist and singer, I would be looking forward to joining the universities music society, where I could learn from the multicultural experience Imperial has to offer while contributing from my own.

In my undergraduate studies, I was heavily involved in extra-curricular activities. Although I gained invaluable life skills which have benefitted me immensely in my professional career, I also learned the importance of maintaining balance. As a result, I lost focus on my studies, and my CGPA suffered. However, determined to make things right, I recently graduated with a 3.63 CGPA in my master’s and scored 331 on the crucial GRE. I believe this is an accurate indicator of my academic ability. I am fully aware of the challenges of a graduate degree at a top-tier institute like Imperial College London. I am confident that I possess the relevant exposure, intellect, and resolve to best these challenges and make significant contributions to the industry.

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How to Write a Strong Personal Statement

  • Ruth Gotian
  • Ushma S. Neill

personal statement for business intelligence

A few adjustments can get your application noticed.

Whether applying for a summer internship, a professional development opportunity, such as a Fulbright, an executive MBA program, or a senior leadership development course, a personal statement threads the ideas of your CV, and is longer and has a different tone and purpose than a traditional cover letter. A few adjustments to your personal statement can get your application noticed by the reviewer.

  • Make sure you’re writing what they want to hear. Most organizations that offer a fellowship or internship are using the experience as a pipeline: It’s smart to spend 10 weeks and $15,000 on someone before committing five years and $300,000. Rarely are the organizations being charitable or altruistic, so align your stated goals with theirs
  • Know when to bury the lead, and when to get to the point. It’s hard to paint a picture and explain your motivations in 200 words, but if you have two pages, give the reader a story arc or ease into your point by setting the scene.
  • Recognize that the reviewer will be reading your statement subjectively, meaning you’re being assessed on unknowable criteria. Most people on evaluation committees are reading for whether or not you’re interesting. Stated differently, do they want to go out to dinner with you to hear more? Write it so that the person reading it wants to hear more.
  • Address the elephant in the room (if there is one). Maybe your grades weren’t great in core courses, or perhaps you’ve never worked in the field you’re applying to. Make sure to address the deficiency rather than hoping the reader ignores it because they won’t. A few sentences suffice. Deficiencies do not need to be the cornerstone of the application.

At multiple points in your life, you will need to take action to transition from where you are to where you want to be. This process is layered and time-consuming, and getting yourself to stand out among the masses is an arduous but not impossible task. Having a polished resume that explains what you’ve done is the common first step. But, when an application asks for it, a personal statement can add color and depth to your list of accomplishments. It moves you from a one-dimensional indistinguishable candidate to someone with drive, interest, and nuance.

personal statement for business intelligence

  • Ruth Gotian is the chief learning officer and associate professor of education in anesthesiology at Weill Cornell Medicine in New York City, and the author of The Success Factor and Financial Times Guide to Mentoring . She was named the #1 emerging management thinker by Thinkers50. You can access her free list of conversation starters and test your mentoring impact . RuthGotian
  • Ushma S. Neill is the Vice President, Scientific Education & Training at Memorial Sloan Kettering Cancer Center in New York City. She runs several summer internships and is involved with the NYC Marshall Scholar Selection Committee. ushmaneill

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Business Analytics Masters Personal Statement Example

Masters in Business Analytics Personal Statement Example (page one)

  • Reading time: 4 minutes
  • Price: Free download
  • Published: 13th June 2022
  • Word count: 1125 words
  • File format: Text

I have always believed that innovation is all about experimenting with new things. Based on my experiences to date, I have realized that for a person to stand out of the crowd, innovation plays a major role. Maybe that’s why ever since primary school Mathematics has always been my favorite subject, probably because it involved solving problems using different methods and I constantly tried to solve math in ways other students might not have. I wanted to be innovative and different from the rest of my peers in the way I solved mathematics. This need for innovation increased the euphoria I obtained in learning and solving the problems. Especially when it comes to science and technology, I am always fascinated about the innovative ideas that helped the predecessors to shape today’s world and how the inventors were able to get such an idea. One of my favorite hobbies is to probe deep into the devices that I could get my hands on, to find how they work and try to tinker with them. My interest toward analytics got heightened when I chose a branch-like computer science engineering in my under-graduation. Being a girl, it is a very tough and challenging task in a country like India to take up and grow in this stream. But I could not care less and here I am, who decided to pursue a field like business analytics as my master’s degree, that would satisfy my dream.

I come from a business family background and I have grown up around business meetings. I have always been inclined towards learning more on managing a business or a company. But I am immensely fascinated by technology as well. One can never learn enough in the enormous field of technology, as new things always keep popping up. I am particularly curious to learn more about data analytics and someday I wish to run a company of my own. A successful business is a constant calculation between risk and reward. A master’s in business analytics is the perfect blend for my interest towards management and analytics and has fuelled my curiosity towards how business analytics and marketing can come together. This will definitely take me a huge step closer to my dream. I wish to study in the US for global exposure and attain an international perspective of the world.

At the academic level, my focus has always been on delving deeper into the conceptual level of things rather than remaining content with merely superficial theoretical knowledge. This has strengthened my basics and also enabled me to secure satisfactory marks in all milestone exams. I have chosen Mathematics, Physics and Chemistry as majors in 11th and 12th. I am currently pursuing engineering in Computer Science where I am doing my final year in Gokaraju Rangaraju Institute of engineering and technology which I will be completing soon. I attained comprehensive knowledge on concepts like C, C++, DBMS, JAVA, PYTHON, machine learning and various other subjects. The labs in my college complemented this knowledge and gave me a platform to practically implement my learning. It was in my third year where I chose ‘Big data analysis’ as an elective and that is when I fell in love with analytics.

During my time in college, I have undertaken a mini project named ‘OXYGEN CYLINDER MONITORING SYSTEM’ where we developed a code that is used to send text messages to the hospital staff and the oxygen delivery person when the weight of cylinder is less than 30%. That is when I discovered the joy of inventing a new thing. Since I have always been interested in learning more about a business, I’ve decided to do an internship in sales and marketing. During my three-month internship in MyCaptain , which is an E-learning platform, I have gained experience in business development, marketing and sales.

Throughout my time in school and college, I wanted to build a solid non-academic foundation as well. Thus, I have attended numerous science fairs conducted in my school and I have always been an active participant in all the sports . I once won a painting competition which I am very proud of. I have also attended the NCC (National Cadet Cop) camp and attained the level-A certificate. Coming to my undergraduate degree, I am an active member of ‘National Service Scheme’ of India which is a club in my college. I find immense joy in helping the needy. As I love managing people, and do the job efficiently, I was chosen as the lead for a photography competition, a part of my college fest named ‘REUDO’. At all these places, I have schooled over my techno-managerial, leadership and most importantly communication skills.

After achieving so much through my academic and non-academic exposition, I did not want to limit my studies to undergraduate level and I, therefore, have decided to go ahead with graduate studies in the USA. Not only will it facilitate my academic growth, but it will also help me in developing a global perspective and will polish my interpersonal skills. I believe that Masters in the UNT’s G. Brint Ryan College of Business, one of the nation’s largest business colleges is an ideal option to reach my career goals. The tutoring sessions by the outstanding teachers and renowned researchers of the college can help me gain comprehensive understanding on Data mining, Data warehousing, Decision modelling, Operations management, Process improvement, Six-sigma analysis and ensure my academic success. I believe that no other university provides students with the desired combination of culture, education and research environment, required for overall personality development, as offered by your institution. The MS program in business analytics offered by the university will undoubtedly provide me with the knowledge and skills that I am seeking, and the experience to pursue my dream and exploit the opportunities to the greatest extent. I resolve to approach the program with enthusiasm and hard work and use the opportunity to advance my learning optimally.

My short-term goal is to work in a leading multinational company and I want to be able to assist in their important decisions regarding advertisement, growth and production. This will enhance my career. My long-term goal is to skilfully own a company of my own with all the experience over the years. The master’s in business analytics program, offered by your college, is the perfect choice for me to attain my short- and long-term goals. The courses and facilities offered by your college will tremendously boost my career and help me learn to make impactful decisions. This multifaceted education is very crucial to propel me to the top of my field. I sincerely hope you consider my application and help me thrive for my career goals.

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The Role of Business Intelligence: What it Is and Why it Matters

For a company’s operations to become informed by data, it will want to employ a business intelligence, or BI, strategy. BI tools allow an organization to make decisions that are guided not just by anecdote or a small collection of data, but with a complete picture of data. In this article, we will cover in detail what business intelligence means, how it can support a business, and what aspects to look for in business intelligence tools for your own organization.

What is business intelligence?

Business intelligence is the process of surfacing and analyzing data in an organization to make informed business decisions. BI covers a broad spectrum of technologies and methods, from the way that data is organized and analyzed, all the way to how findings are reported. BI is used to answer how a business performed in the past and why those outcomes came about.

BI requires organization of data collection, storage, analysis, and reporting to generate insights.

Execution of a successful business intelligence strategy requires a strong organization of how data is used from start to finish:

  • Data collection : A business needs to understand where they can collect data from visitors and customers, and how they can be organized into a form that can be analyzed.
  • Data storage : Data relevant to businesses are numerous and often large in scope. In order to be useful, that data must be stored in a place that data stakeholders can reliably access, such as in a SQL database. A storage solution should always be up-to-date so that a company can act on changes in data quickly.
  • Data analysis : The core of business intelligence is focused on descriptive and diagnostic analytics, which answers questions of where your company has been, where it is now, and why things are the way they are now. BI tools need to be able to draw from data storage to conduct these different types of analyses.
  • Data reporting : All of our data and analyses will do no good if they do not reach decision makers and other stakeholders. BI should convey data and insights in ways that people with less context can still quickly understand and use them to make decisions.

In order to execute these steps, multiple tools and products need to be employed. There are two subsets of tools to consider here.

Data pipeline: data collection and storage

One class of tools are those used to collect and store data. Tools like Salesforce and Hubspot collect data on various aspects of a company’s visitors. Products like Amazon Redshift, Google BigQuery, and Snowflake allow businesses to store their data in scalable data warehouses. And other products like Fivetran and Stitch can make it easy to connect data generators into data storage.

While products that perform data collection and storage are important parts of the BI process, they generally aren’t what people think of when it comes to business intelligence. The efforts put into this part of an organization’s data strategy can serve not just their business intelligence needs, but other parts of their data analytics plans. Instead, the strategies used by a business to collect and store data are often known as the data pipeline. The tools used in the data pipeline will fall under the label of data engineering.

Business intelligence tools: data analysis and reporting

Other tools are used to analyze and report on data; these are the products that are referred to as business intelligence tools. Setting up these BI tools allow you to connect to and query data repositories in order to analyze the data. They let you create visualizations and dashboards that are easy to read and understand. Good BI tools let you generate and send out reports to stakeholders so they can monitor performance indicators at a high level.

Business intelligence vs. business analytics

The term “business analytics” (BA) is a term related to business intelligence, with plenty of confusion over where they overlap. A common distinction between business intelligence and business analytics comes from the type of data analysis being performed.

Business intelligence is often characterized as concerned with the descriptive and diagnostic levels of analysis. That is, BI tries to address questions of what has previously happened, what is the current state of things, and why the observed pattern in the metrics came to be.

Business analytics, on the other hand, is concerned with predictive and prescriptive analytics. This type of analysis is concerned with predicting what will happen next, or what a company should be doing next. Performing BA tends to be a more specialized pursuit, since it requires a good descriptive and diagnostic foundation that comes from BI.

While some definitions of BI and BA make distinctions between them based on analysis methods or strategies, the differences in domain between past and present vs. future are fairly standard. This separation between business intelligence and business analytics can help narrow down what kinds of functionality you want a BI tool to have, and what can be left out.

How business intelligence supports businesses

The overall objective of business intelligence is to allow a business to make informed decisions. A company with a working BI strategy will have data that is accurate, complete, and organized. Business intelligence can be used to show historic patterns to help stakeholders gauge the health of their organization, alerting them to problems as well as potential improvements.

Business intelligence can also help organize teams, keeping them aware of key performance indicators (KPIs). Awareness of KPIs through dashboards and reports keeps teams aligned and focused on their goals. Easy access to metrics and KPIs also frees up time and energy to execute on the tasks that will impact the company’s performance.

Examples of business intelligence usage

Business intelligence tools can be used by all teams at a company, including sales, marketing, and customer support. Team members and executives can both make use of BI tools’ output. Data engineers and data analysts can also make use of the convenience of a BI tool when performing their own investigations.

Examples of how business intelligence is used include:

  • Visualize the volume of visitors and users on a website over time
  • Track potential customers through a sales pipeline
  • Measure performance of business metrics against benchmarks and goals
  • Evaluate performance of marketing campaigns and experiments
  • Segment users by demographic characteristics
  • Generate reports for team and executive decision-making

Modern business intelligence and self-service BI

A major driving force behind modern business intelligence is increasing the accessibility of data analysis to a larger audience. Traditionally, calculation of metrics and compilation of reports required a dedicated data professional or team to create. This was a significant bottleneck between a user noticing an interesting or concerning trend and being able to diagnose their observations.

Now, business intelligence solutions are becoming aligned with self-service BI . With self-service BI, anyone is able to access data directly and perform analyses without needing to go directly through a data team member. Self-service BI tools typically have graphical interfaces so that common data tasks are easy to perform without query language knowledge. While data teams are still important for maintaining data and who gets access to it, self-service BI can free up data specialists to perform more intricate and advanced analyses.

Features of business intelligence software

In order to perform business intelligence tasks, we need data to be collected and stored with data engineering tools, then made available to business intelligence tools for analysis and reporting. When looking for solutions to let your business draw insights from your data, pay attention to the points below to make sure that they satisfy your needs.

  • Connections to data sources

First and foremost, you need to be able to get access to data in order to perform business intelligence. It’s important to make sure that your analysis-side BI tool is able to connect to your other solutions that take care of data storage. These data sources can include databases like MySQL, data warehouses like Amazon Redshift and Google BigQuery, or even ad hoc data files in CSV format. Make sure that your BI tool is also able to access the most up-to-date data in order to make timely decisions. Try to avoid workflows that require custom data pipelines to be set up, since this can create disruption if there is a change or unexpected event in the raw data.

Data querying

In addition to being able to connect to data sources, it is also worth checking how easily the BI tool is able to connect between data sources. A good BI tool will make it easy to take queries from different data sources and join them into a new one. Connecting and merging data from multiple data sources provides the opportunity for additional insights that are not possible on their own.

Data visualization and dashboards

Data visualization is a core component of most business intelligence applications. A good chart can convey insights faster than a plain table of numbers. When considering BI tools, see what kinds of charts they have available and the amount of customization possible with them. A surprisingly large amount can be done with a fairly small number of chart types , but think about your use case carefully to see if you need software that can support a particularly specialized chart type for your organization.

A BI tool should also be able to arrange groups of charts and tables into dashboards. Dashboards allow for continual tracking of important business metrics in a single location. Make sure that your chosen BI tool is able to automatically update its dashboards so that viewers are always getting the most up-to-date information possible.

Data analysis

It’s important to keep in mind the type of analysis that can be handled by the data that is available. When there is an unexpected change in metrics, a BI tool should allow users to dig deeper into the data. A modern BI tool will allow users to modify and add on to previous queries in order to get deeper insights into the data. Another feature that supports analysis and exploration are dashboard-level filters that can affect multiple charts at the same time.

Recall as well that BI tends to be focused on descriptive and diagnostic analysis. While it might seem attractive for a BI tool to include more advanced capabilities such as machine learning or artificial intelligence, they are far from necessary. Making sense of these advanced techniques still requires specialized knowledge of the business and statistics to properly interpret what the algorithms find. A mature data team may well be better off performing predictive and prescriptive analyses outside of the bounds of BI tools’ functionality.

Data availability

It’s important to consider the freedom that business intelligence tools can provide to an organization. Modern BI tools can make it easier for data stakeholders to perform the investigations they need to themselves, freeing up data teams to perform more in-depth analyses.

Consider how easy it is for new users to be added to a BI tool and how easily they can access the data they need. Take note if there are different account types, if there are separate creator, editor, or viewer user accounts. Check if it is possible for multiple users to work collaboratively on the same dashboard.

Implementing a self-service BI tool can be a great way to drive an organization towards being data-driven. This is especially true for smaller businesses, which may not have the level of personnel to handle a more traditional BI strategy centered around a dedicated data team. When it is easier for users to get up to speed with a BI tool, the faster an organization can make use of and act on their data.

Deployment method

Another big consideration in choosing a business intelligence tool is how it will be deployed. Traditional BI software required an on-premises deployment, including hardware setup to software installation.

Modern business intelligence follows a cloud-based deployment model. Cloud-based BI tools require no specific hardware setup, sometimes just requiring an online connection. Since resources accessed remotely, a cloud-based BI strategy is quicker to get running and easier to scale with a company’s data needs. It is now much easier to perform complex analyses due to this scalability. While on-premises deployment can have some small advantages with customizability, it will be in your best interests to stick with a cloud-based BI solution.

Application support

Each BI application has its own learning curve that can take some time to overcome. This can be an important consideration especially if you want many people actively using the software – including those who may not have much technical or analytical experience. Check to see what resources each BI tool has for using their product, like documentation, tutorials, and FAQs. Certain providers may also offer active support lines to provide direct help on specific customer questions.

Make an honest attempt at using a BI tool in a product trial in order to see if it suits your needs. Before and during a trial, plan out and try implementing some of your use cases in the product. Pay attention to not only whether the product’s features actually solve your problem, but also where you get stuck and how the BI tool’s support resources help you out. Other users will encounter those problems after purchasing the product, so knowing the kind of support you need should be a factor in choosing a BI tool.

Best practices for implementing business intelligence

Implementing business intelligence doesn’t stop with just choosing the right tools: it also requires the proper support from the organization and its people. Keep in mind the following tips to ensure that when you invest in a BI strategy, the information it returns will be valuable to your company.

Ensure that the tool meets the company’s needs

Before you purchase a BI tool, make sure that its capabilities actually act as solutions for the organization’s questions before finalizing a commitment. Plan out how you expect the BI tool to be used by the company. Use the list of business intelligence features above to understand the priorities that you need in your BI strategy. Each BI tool provides tradeoffs between its features, so determine which features are most important for your business and select the tool that aligns best with your needs.

Establish a working data pipeline

Getting meaningful outputs from a BI tool requires meaningful inputs. Having a functional data pipeline for data collection and storage is a prerequisite to performing data analyses. When data is not clean, then it may be difficult to work with the data. If data is not thorough, then gaps in the data may result in bias in the results.

Make sure that your data is structured and organized before you start to analyze it. The people who manage the data will need to be in sync with what users need in order for analysis to be useful and actionable. Collecting data from many different sources and storing them in data lakes, warehouses, and marts can be a considerable effort in both time and money. Exercising good data management is a necessary step towards becoming data-informed, and work that you put in at the start can save you more pain later on.

Encourage active usage of business intelligence tools

It can take some effort to educate employees to use the BI tools you purchase. Education on proper tool use is necessary to ensure that users are drawing accurate insights from the data. However, while BI application interfaces have become more intuitive, learning how to work with a tool still requires patience.

It can help to have someone in charge of spearheading BI adoption efforts. Let them be an evangelist and leader to get more people engaged in using BI tools. Team leaders and executives can also provide valuable buy-in energy to support the building effort. When more people are using analysis tools, the more effective its implementation will be. Not only will more insights be generated, users can rely on each other to obtain the insights they need to perform informed decision making.

Business intelligence greatly enhances how a company approaches its decision-making by using data to answer questions of the company’s past and present. It can be used by teams across an organization to track key metrics and organize on goals. Modern business intelligence tools use self-service solutions to make it easier for stakeholders to access their data and explore it for themselves.

When evaluating a BI tool, make sure it satisfies your company’s needs in terms of:

  • How data can be queried and connected between data sources
  • Data visualizations and dashboards
  • Report generation
  • Depth of data analysis and drilldown
  • Accessibility of data
  • Help, documentation, and active application support

Business intelligence is a key investment to making a business more informed by data. When a BI tool is used in alignment with a business’s use cases, it can free up time for employees to take meaningful actions to keep the business moving forward. For more perspectives, check out our whitepaper on how BI can benefit an organization and how to choose the right BI tool .

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  • Data Science Masters Personal Statement Sample

Written by Ben Taylor

This is an example personal statement for a Masters degree application in Data Science. See our guide for advice on writing your own postgraduate personal statement .

The emergence of big data over the past decade as a power for good – and, dare I say it, evil – has convinced me of the importance of developing and honing my skills in this arena. I’m keen to ‘future-proof’ my career and I believe that your MSc Data Science degree is the programme to help me achieve my goals.

Although I don’t come from a traditional STEM background, having studied a Bachelors degree in Linguistics, the professional experience I’ve gained since graduating has given me a solid foundation in the principles associated with data analytics. I’ve worked for two years as an SEO and PPC Executive for a major e-commerce agency, helping to provide insight into website traffic trends and advert effectiveness, and suggesting ways to boost online performance. I’ve used tools like Semrush and Moz, as well as Google Analytics and Search Console, and crave the opportunity to delve even deeper into the world of data outside of an e-commerce agency.

The potential applications of machine learning and natural language processing are particularly fascinating to me. I’ve watched with interest the arrival of deep learning software that purports to generate unique content based on user prompts. Although the end-product of these programmes is sometimes crude, I think they’re incredibly promising.

The coronavirus pandemic has also shown the value of big data in a healthcare setting, with large-scale modelling a vital source of information and guidance for policy-makers across the globe. The pandemic has also illustrated the importance of presenting this data in a clear and responsible manner and I’ve been impressed by the development of the UK’s own coronavirus statistics dashboard, which I think should be seen as a benchmark standard.

I think that your conversion course is perfectly tailored for my skillset, as someone with an amateur, self-taught background in coding (including the basics of Python). I’m looking for a rigorous degree that will challenge me and ultimately equip me with the knowledge to make a meaningful contribution in the private or public sector in the coming years. I hope to apply my new-found expertise in a company with a start-up culture, perhaps in the fin-tech sector where algorithmic know-how is in high demand.

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Business Analytics Personal Statement

Business Analytics Personal Statement Examples

Your business analytics personal statement (SOP) is a key component of your application to the Master of Business Analytics (MBA) program. Besides laying out your career goals, the SOP also should describe your skill set. If you have any weaknesses, discuss how you overcame them. In any case, your SOP should not exceed the word limit of the university. Be yourself, but don’t be too formal – your SOP should not be a resume.

Table of Contents

Writing a business analytics personal statement

The SOP should explain your motivation for pursuing a career in business analytics. In the first paragraph, you should briefly explain what prompted you to study this particular course. Your background, skills, and extracurricular activities should also be mentioned. In the third and fourth paragraphs, talk about your short and long-term career goals, and why you think these skills and interests are complementary. Be sure to keep your tone professional and positive throughout the entire essay.

When writing an SOP for Business Analytics, remember to think outside of the box and include relevant details about your background. Include your achievements in school and college. You can also include your professional history and highlight how your previous experiences helped you realize your interest in the Business world. You should also list down your programming skills and analytical skills. Make sure to mention your previous work experience if it relates to Business Analytics. Finally, remember to proofread your SOP before you send it off. Even a simple typo can make you appear unprofessional.

Structure of the SOP

The Structure of the SOP in business analytics personal statements should include a personal introduction that explains your traits, interests, and habits. It should also highlight your professional skills, including your work ethic, analytical skills, and willingness to work as part of a team. Lastly, it should describe the course you’re applying to, including which institutions you’ve applied to and why. In short, your SOP should show why you’re a good fit for the program.

The Structure of the SOP in business analytics personal statements should be interesting to read, and not too formal. Admission committees are looking for determinants of personality, so make your statement about yourself as real as possible. Ultimately, it will help the admissions committee understand who you are. Be yourself! Don’t over-emphasize your accomplishments and your experience. Make sure your statement is clear, concise, and well-written.

Be yourself in the SOP

While writing the Business Analytics personal statement, be yourself. You can begin by telling the reader why you want to study business analytics and then elaborate on your future goals. Don’t be too polished or overstate your achievements. Be real about your weaknesses and shortcomings, and emphasize how you overcame them. Avoid using overly formal language, especially when describing your past. The admissions committee wants to see the real you, so you should avoid sounding like an academic, but rather a business person.

In the Business Analytics personal statement, discuss your preferences for college and the courses you want to take. Include your interests, hobbies, and daily routine. Also, mention your skills and how you would work with a team. Make sure to talk about how you are willing to learn and work hard. If possible, mention your work experience. These experiences may prove to be helpful in your future career. The MBA program is competitive, so be honest about your experiences.

Check spelling and grammar

Before you start your statement, check your grammar and spelling for mistakes. Make sure to avoid using passive voice, cliches, and long sentences. Also, make sure to keep the tone professional. Avoid colloquialisms, hashtags, and casual language. This is your statement, and you want to convey your professionalism as best you can. Remember that your application is being read by prospective employers, so you’ll need to communicate clearly to them.

Business analytics personal statement

A statement of intention for USC business analytics is the fundamental document that is included in the business intelligence package. The structure of the document serves as an invitation for users to participate and submit their qualitative data to the analytics team. Data submitted are based on a variety of different factors, which range from overall business performance to specific customer attributes. Data obtained are used to form analytical reports which are then used to support strategic decisions.

  • Several samples for this purpose have been created by a group of experts, who have worked together over many years to create the statement of intent for USC business analytics. The first data set for the statement of intention contained thousands of business and organizational attributes. This resulted in a massive quantity of qualitative data which was then processed into usable reports. More recent samples have focused on aspects such as diversity across cultures and skillsets. The breadth of the data and the quality of the analytical work done have both contributed to the recent success of the statement of intent.
  • Another example of a statement of intent for USC business intelligence is the Usability Studies for US National Security which is an initiative developed by the Intelligence Studies Institute. The project was developed to support the National Data Entry Request for Data Management requirements and support the US Department of Defense and other national security agencies within their requirement process. The project involved the compilation of usability data for over one hundred thousand different users across all departments, all of which had different departments and different levels of involvement. Data for this project have been processed and submitted to the Intelligence Studies team for analysis.
  • To support their business intelligence needs, some sample statements for the US National Security Agency (NSA) have been developed. The NSA is an extremely secretive and powerful national security agency. Its capabilities in foreign affairs and intelligence collection make it necessary that its human resources, analytic capability, and technical abilities are kept at the highest level of competence. A sample statement for the NSA might be “We develop and utilize analytical and research tools to maximize our collective understanding of foreign matters”.
  • Business analytics personal statement examples may also look at a company’s IT function. These professionals are responsible for defending the information and systems of the company’s internal network. Some of the skills that might be required may be information security, computer networks, and data management. Companies that have a strong division of IT personnel may be more successful when recruiting the right person to serve as a business analyst. The statements from the Department of Defense and the Intelligence Studies teams at USC are a good starting point for selecting someone who will fit into the business intelligence role.

Some sample statements from business analysts can be considered the most common of these examples, although there are many others available as well. The US Department of Defense’s statement for its Human Resources Management team reads “The mission of the Human Resources Management element of the Department is to recruit, select, and promote individuals best suited to fill critical Human Resources positions in the Department and to train and retain the nation’s best Computer Systems Analysts.” The Intelligence Studies team at USC states “SCAs are experts in collecting and interpreting data using a wide range of techniques.” If you are writing a business case based on one of these examples, you should consult a computer science degree program or a graduate school before completing your write-up.

One Reply to “Business Analytics Personal Statement Examples”

I AM APPLYING TO STUDY BUSINESS ANALYTICS IN A UK UNIVERSITY AND I AM TRYING TO WRITE A PERSONAL STATEMENT FOR THE ADMISSION. I HAVE A BACGROUND IN BUSINESS INFORMATION SYSTEMS AND INTERNATIONAL BUSINESS PLEASE HOW CAN YOU HELP.

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5 Business Intelligence CV Examples [+ Template]

Business Intelligence professionals are adept at sifting through vast amounts of data, extracting valuable insights to drive strategic decision-making. Similarly, a compelling CV should distill your professional experiences and skills into a concise, impactful narrative that illuminates your value to potential employers. In this guide, we'll delve into Business Intelligence CV examples that demonstrate how to effectively translate your data-driven expertise and strategic acumen into a compelling career story.

business intelligence cv

CV Examples

Cv guidance.

  • Essential Sections

Optional Sections

  • Getting the CV Structure Right
  • Formatting Your CV
  • Personal Statements for Business Intelligence
  • CV Experience
  • CV Skills & Proficiencies
  • How to Tailor Your CV to a Job
  • FAQs about CVs
  • Related CVs

CV Writing for Business Intelligences

  • Spotlight Your BI Certifications and Specializations : Highlight qualifications such as CBIP, CDMP, or CCA Data Analyst. Mention specializations like data mining, predictive analytics, or business performance management at the beginning of your CV.
  • Quantify Your Achievements : Use specific metrics to illustrate your impact, such as "Improved sales forecast accuracy by 20% through predictive modeling" or "Reduced operational costs by 15% through data-driven process optimization".
  • Align Your CV with the Job Description : Tailor your CV to match the job's requirements, emphasizing relevant experiences like data visualization, statistical analysis, or strategic planning if highlighted by the employer.
  • Detail Your Technical Proficiency : List your expertise in BI tools like Tableau, Power BI, or SAS, and your proficiency in SQL, Python, or R. Also, mention your experience with data warehousing and ETL processes.
  • Showcase Your Business Acumen and Soft Skills : Mention your understanding of business operations, decision-making processes, and your ability to communicate complex data insights in a clear, understandable manner.

The Smarter, Faster Way to Write Your CV

personal statement for business intelligence

Business Intelligence CV Example

  • Directed the implementation of a new data warehousing system, resulting in a 30% increase in data processing speed and significantly improving the efficiency of business intelligence operations.
  • Developed and executed a comprehensive data governance strategy, leading to a 20% reduction in data discrepancies and enhancing the accuracy of business intelligence reports.
  • Managed a team of 10 data analysts, fostering a culture of data-driven decision making that contributed to a 15% increase in overall business performance.
  • Orchestrated the integration of business intelligence tools with existing IT infrastructure, reducing data retrieval time by 25% and enhancing the speed of decision-making processes.
  • Designed a suite of custom BI dashboards tailored to the needs of various departments, improving data accessibility and driving a 20% increase in data-driven strategic initiatives.
  • Conducted comprehensive data audits, identifying and rectifying data quality issues that resulted in a 15% improvement in the reliability of business intelligence reports.
  • Implemented a new data mining methodology that increased the efficiency of predictive modeling by 30%, leading to more accurate business forecasts.
  • Collaborated with cross-functional teams to identify key performance indicators, enabling more focused data analysis and contributing to a 10% increase in operational efficiency.
  • Developed and delivered business intelligence training programs to non-technical staff, promoting a company-wide understanding of BI tools and their benefits, leading to a 20% increase in their usage.
  • Data Warehousing
  • Data Governance Strategy Development
  • Team Management
  • Integration of Business Intelligence Tools
  • Custom BI Dashboard Design
  • Data Auditing
  • Data Mining
  • Key Performance Indicator Identification
  • Business Intelligence Training
  • Predictive Modeling

Business Intelligence Analyst CV Example

  • Championed the development and implementation of a new data warehousing system, resulting in a 30% improvement in data processing speed and a 20% increase in data accuracy.
  • Devised and executed a comprehensive data analysis strategy that identified key market trends, leading to the development of new products that increased revenue by 15%.
  • Managed a team of 4 data analysts, fostering a culture of continuous learning and improvement that increased team productivity by 25%.
  • Implemented a new BI reporting tool that improved the efficiency of data visualization and reporting by 40%, enhancing decision-making processes across the organization.
  • Conducted in-depth competitor analysis using advanced BI tools, providing strategic insights that contributed to a 10% increase in market share.
  • Collaborated with cross-functional teams to develop and maintain a data governance framework, ensuring data integrity and compliance with data protection regulations.
  • Developed and maintained complex SQL queries for data extraction, contributing to a 20% reduction in time spent on data collection and preparation.
  • Provided actionable business insights through advanced data analysis, supporting the development of a new marketing strategy that increased customer engagement by 15%.
  • Assisted in the design and implementation of a new data management system, improving data accessibility and security across the organization.
  • Data Analysis
  • BI Reporting Tools
  • Competitor Analysis
  • Data Governance
  • SQL Queries
  • Business Insights
  • Data Management Systems
  • Market Trend Identification

Business Intelligence Developer CV Example

  • Developed and implemented a new data warehousing architecture, resulting in a 30% improvement in data processing speed and a 20% reduction in system downtime.
  • Managed a team of 7 BI developers, successfully delivering 5 major projects on time and under budget, contributing to a 15% increase in operational efficiency.
  • Designed a custom BI dashboard that provided real-time insights into key business metrics, leading to a 10% increase in sales and a 5% increase in customer retention.
  • Implemented a new ETL process that improved data accuracy by 25%, enhancing the quality of business insights and decision-making.
  • Collaborated with cross-functional teams to understand data needs and developed tailored BI solutions, resulting in a 20% increase in user satisfaction.
  • Conducted regular data audits and resolved data integrity issues, reducing data discrepancies by 30% and improving the reliability of business reports.
  • Developed SQL scripts for data extraction, contributing to a 15% decrease in data processing time and a 10% increase in report generation speed.
  • Assisted in the migration of BI systems to a cloud-based platform, reducing infrastructure costs by 20% and improving system scalability.
  • Provided training and support to end-users on BI tools and systems, improving user proficiency and increasing the adoption rate by 25%.
  • Data Warehousing Architecture
  • BI Dashboard Design
  • ETL Process Implementation
  • Cross-Functional Collaboration
  • Data Audit and Integrity Management
  • SQL Script Development
  • Cloud-Based BI System Migration
  • End-User Training and Support
  • Data Extraction and Report Generation

Business Intelligence Manager CV Example

  • Championed the development and implementation of a new BI strategy that improved data-driven decision making, resulting in a 30% increase in operational efficiency.
  • Managed a team of 10 BI analysts, fostering a culture of continuous learning and innovation that led to a 20% improvement in team productivity.
  • Introduced advanced data visualization tools that enhanced the understanding of complex data sets, leading to more accurate forecasting and a 15% increase in annual revenue.
  • Orchestrated the migration of legacy data systems to modern BI platforms, reducing data processing time by 40% and improving data accuracy.
  • Developed and implemented a comprehensive data governance framework, ensuring data integrity and compliance with industry regulations.
  • Collaborated with cross-functional teams to identify key performance indicators (KPIs), providing critical insights that drove strategic business decisions.
  • Played a key role in the design and development of a data warehouse, streamlining data collection and analysis processes.
  • Conducted regular training sessions for non-technical staff on BI tools and concepts, improving company-wide data literacy by 25%.
  • Implemented predictive analytics models that improved market trend forecasting, leading to a 10% increase in market share.
  • Business Intelligence Strategy Development
  • Team Leadership and Management
  • Data Visualization
  • Data Migration and Modernization
  • Key Performance Indicators (KPIs) Identification
  • Data Warehouse Design and Development
  • Training and Development
  • Predictive Analytics
  • Market Trend Forecasting

Intelligence Analyst CV Example

  • Directed a team of 7 intelligence analysts, achieving a 30% increase in actionable intelligence reports through the implementation of advanced data analysis techniques and tools.
  • Developed and implemented a comprehensive threat assessment framework, resulting in a 20% reduction in security risks and potential threats to the organization.
  • Streamlined the intelligence gathering process, leading to a 40% improvement in the speed and accuracy of intelligence reports, enhancing decision-making capabilities at the executive level.
  • Managed a high-stakes project to analyze and predict potential geopolitical risks, resulting in the organization avoiding a potential $2M loss.
  • Implemented a new data visualization tool that improved the presentation and understanding of complex intelligence data by 35%, leading to more informed strategic decisions.
  • Collaborated with the IT department to develop a secure, encrypted database for sensitive intelligence data, significantly enhancing data security and integrity.
  • Conducted detailed analysis of competitor activities, uncovering critical insights that led to a 15% increase in market share.
  • Enhanced the intelligence reporting system, reducing errors by 25% and improving stakeholder confidence in intelligence data.
  • Developed a comprehensive training program for junior analysts, improving team productivity by 20% and reducing the onboarding time by 30%.
  • Advanced Data Analysis
  • Threat Assessment
  • Intelligence Gathering
  • Geopolitical Risk Analysis
  • Database Security
  • Intelligence Reporting
  • Team Leadership

CV Structure & Format for Business Intelligences

Essential cv sections for business intelligence professionals, getting your cv structure right.

  • Logical Flow : Begin with a compelling personal statement, then proceed to your professional experience, ensuring a logical progression through the sections of your CV.
  • Highlight Key Achievements Early : Make significant accomplishments stand out by placing them prominently within each section, especially in your career experience.
  • Use Reverse Chronological Order : List your roles starting with the most recent to immediately show employers your current level of responsibility and expertise.
  • Keep It Professional and Precise : Opt for a straightforward, professional layout and concise language that reflects the precision Business Intelligence demands.

Formatting Your Business Intelligence CV for Success

Formatting keys to success, clarity in data presentation, highlighting technical proficiency, optimal cv length, personal statements for business intelligences, business intelligence personal statement examples, how to write a statement that stands out, cv career history / work experience, business intelligence career experience examples, how to make your career experience stand out, cv skills & proficiencies for business intelligence cvs, cv skill examples for business intelligences.

Technical Expertise

  • Data Analysis & Interpretation : Proficient in analyzing complex data sets and translating findings into actionable business insights.
  • BI Tools Mastery : Skilled in using Business Intelligence tools (e.g., Tableau, Power BI, QlikView) to visualize and report data.
  • Database Management : In-depth knowledge of SQL and database management to maintain and optimize data systems.
  • Predictive Modeling : Ability to create predictive models to forecast business trends and inform strategic planning.

Interpersonal & Collaboration Skills

  • Effective Communication : Ability to translate complex data insights into understandable terms for non-technical stakeholders.
  • Team Collaboration & Leadership : Proven experience in leading project teams and coordinating efforts to meet data analysis deadlines.
  • Problem-Solving : Innovative approach to resolving data discrepancies and streamlining data analysis workflows.
  • Adaptability : Flexibility in adapting to new data technologies, methodologies, and business changes.

Creating a Compelling Skills Section on Your CV

How to tailor your business intelligence cv to a specific job.

Tailoring your CV to the target job opportunity should be your single most important focus when creating a CV.

Tailor Your CV to a Job Description

personal statement for business intelligence

Emphasize Your Relevant Business Intelligence Experiences

Use industry-specific keywords, highlight your technical skills and certifications, align your personal statement with the job requirements, showcase your soft skills and team experiences, cv faqs for business intelligences, how long should business intelligences make a cv, what's the best format for an business intelligence cv, how does a business intelligence cv differ from a resume, related cvs for business intelligences.

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Postgraduate Personal Statement Example: AI & Big Data Computing

personal statement for business intelligence

Reading examples of personal statements can be valuable when applying to a university or college course. After all, personal statement examples can teach you how to write and structure your application, and you can quickly learn how to write a personal statement by examining others.

But with so many university personal statement examples available, how do you know if you’re reading a good one?

Postgraduate personal statements should highlight relevant academic and practical experience, research skills and ambitions and their suitability for the course. This postgraduate personal statement example for AI & Big Data clearly outlines these three critical elements.

Studying master’s degree personal statement examples can be especially valuable. They’re sometimes referred to as personal mission statements or statements of purpose , so if you’re tasked with writing a personal mission statement, the following example will work for you.

I’ve broken down this personal statement example section by section, with a commentary on each element. 

That way, you’ll see its strengths and weaknesses and get some inspiration for your own personal statement .

Once you’ve read the personal statement example and analysis, you’ll be able to download a pdf of the whole document, to use as inspiration for your own!

personal statement for business intelligence

Personal Statement Example: Introduction

“In an era enveloped by modern technology, patterns of consumption and means of payment have changed dramatically and irrevocably. The global development of online shopping and currency digitisation allows us to buy whatever we need whenever we need it. Moreover, we can complete transactions quickly and securely using facial recognition. As a young adult who has been heavily influenced by digital shopping, I became interested in the design and development of shopping software and its corresponding payment technology. 

Studying for a BSc in Software Development with a minor in Computer Science at the University of Buckley, learning programming felt like learning to perform magic. I saw how visionary ideas could be realised in computer language, making machines more intelligent and efficient. I am eager to continue exploring the mystery and potential inherent in computer science. I am confident that this master’s in Artificial Intelligence and Big Data Computing at Slater Polytechnic University is the ideal next step to improve my professional knowledge and skills.”

Commentary and Analysis 

The opening of this personal statement is engaging, concise and relevant to the course the writer is applying for. It uses informed observations and appropriate terminology and immediately strikes the reader as well-written and academic in tone.

The writer makes a clear link with the value and impact of their undergraduate studies and offers a valid, generalised rationale for studying at the university of their choice.

This introduction has a sense of purpose and relevancy, but it lacks specifics about the technology discussed, which would have added a greater level of legitimacy.

If you’re struggling with your personal statement introduction, check out my article on how to write perfect opening paragraphs here .

personal statement for business intelligence

Personal Statement Example: Academic Background

“Throughout my undergraduate studies, I have been proactive in learning systematic computer theory and programming, laying a foundation in mathematics and science, developing the ability to think independently and improving my logical thinking and creative skills. 

During this process, I became increasingly fascinated by artificial intelligence. Electing to study an Introduction to Artificial Intelligence course, I explored heuristic search, game playing, machine learning, neural networks and probabilistic reasoning. More importantly, I experimented with applying algorithms and techniques related to AI across a range of specific contexts, allowing problems to be solved and functionality optimised.

During my experiments, I undertook data pre-processing, managing dirty data and normalisation with Weka on the Pima Indian diabetes dataset, which contains 768 instances described by eight numerical attributes. Subsequently, I used Python to implement the K-Nearest Neighbour and Naïve Bayes algorithms to build two classifiers, using some data instances as training data to make diabetes predictions. 

Additionally, I implemented 10-fold hierarchical cross-validation to evaluate the performance and accuracy of both classifiers on the same data set. When I ran Decision Tree, Multi-Layer Perceptron, Support Vector Machine and Random Forest with Weka to calculate accuracy and compare, I found that different algorithms showed conflicting results in different contexts. 

To improve the accuracy of my prediction, I performed Correlation-based Feature Selection on the data, effectively removing the influence of irrelevant factors. Successfully completing this project, I developed a better understanding of the principles and potential of machine learning and enhanced my practical and analytical skills. I believe this experience has prepared me well for graduate study.”

Commentary and Analysis

The first paragraph above is outstanding in terms of claims but is descriptive without giving evidential examples, which would have added much more depth. However, the second paragraph does show evidence of relevant prior knowledge, showing an impressive depth of terminology, relevance and expertise, which would impress an admissions reader. The writer also links their prior learning to the master’s course they are applying for, which is essential.

The technical aspects of the second half of this section are even more impressive, as the vocabulary is used expertly and expressed logically. There is a clear link between the writer’s knowledge depth and the course demands, although more specific connections could have been drawn. The last two sentences are not specific enough in terms of a direct link with course modules.

If you’d like to learn more about how to structure your personal statement or statement of purpose , check out my awesome Personal Statement Template eBook here . It’s full of detailed examples of what to include!

personal statement for business intelligence

Personal Statement Example: Practical Experience 1

“In addition to my active academic engagement and exploration, I also have a wealth of relevant internship and practical experience. During my exchange program at Marshall University, I deepened my understanding and application of data mining by pre-processing, visualising and analysing data on China’s demographic change and urban-rural distribution and regression prediction. During my internship at Pounce Artificial Intelligence Technology Co Ltd, I interacted with the algorithmic models of facial expression recognition and sentiment analysis. 

As a result, clients from diverse backgrounds and age groups, such as university students and older people in nursing homes, can receive accurate sentiment analysis reports and suggestions for improvement after using our products for human-computer interaction. I now have a compelling clarity of vision for the future application of this technology in medical treatment, in monitoring patients’ emotions and generating new opportunities for well-being and positive mental health.”

The elements referred to here link directly with the content offered by the course, so the writer has succeeded in evidencing their suitability in practical terms. However, there’s very little direct relevance to particular units or modules, which would have strengthened the content.

The second half of this section goes a little off-topic. Although it shows the application of the internship work, we lose a sense of relevancy. However, the writer rescues this to a degree by linking this passage with their ambitions.

Check out lots more examples of personal statements here , and see how they can inspire your application!

personal statement for business intelligence

Personal Statement Example: Practical Experience 2

“Subsequently, I joined Fourth Sky Network Technology Co Ltd as an intern. In developing the business requirements for portraits, I took the initiative and taught myself Python Spider, parsing the Baidu Tieba and Douban websites to obtain nearly 1,000 pieces of avatar data. I also compared the Baidu image recognition function when implementing the image recommendation function. 

The obvious difference in results piqued my interest in exploring graph recognition technology within the sphere of artificial intelligence. The skills I acquired deepened my understanding of algorithmic models, data analysis and machine learning, shaping the direction of my choice of both my master’s study and career ambitions.”

Commentary and Analysis: 

This more relevant and dynamic section builds on the previous one but offers evidence of skills and experiences more tangibly. The connection between the writer’s practical skills and further academic ambitions is of the most value, made in the second paragraph. Admissions readers like to see a correlation between an applicant’s goals and the course offer, and this passage achieves this successfully.

Again, a substantial range of relevant vocabulary is used, showing a suitable academic level for postgraduate study.

The one thing that all successful personal statements have in common is that they are concise, engaging and accurate in spelling, punctuation and grammar. Consequently, I always recommend Grammarly to my students and clients. 

It’s an outstanding tool for ensuring your personal statement is rich with detail whilst hitting those all-important word limits. Check out the free version of Grammarly here , or hit the banner for more information.

personal statement for business intelligence

Personal Statement Example: Conclusion

“Artificial intelligence has already had some disruptive effects on human life and is bound to make positive and currently unforeseen leaps forward in the future. Consequently, I believe that Slater Polytechnic University offers the most suitable program for the next phase of my academic study and personal development. I look forward to learning how to apply and design more complex applications, analyse data using cutting-edge statistical techniques and gain greater machine learning knowledge. 

I also aim to extend my professional skills by studying Natural Language Processing and Speech and Image Recognition as my elective courses. I am passionate about collaborating with others and am keen to meet and learn from a group of like-minded peers. 

A motivated student, I am eager to use my undergraduate knowledge and industry experience to focus on language analysis and action recognition in artificial intelligence. Ultimately, I hope to realise intelligent furniture and create products that offer all a convenient life. I look forward to playing a creative and dynamic role as a valued member of your faculty and taking my place in the next generation of AI and big data breakthroughs.”

The first part of this conclusion is far too generic. Without any real clarity of example, the writer makes broad observations that lack depth. What disruptive effects? What are the projects or individuals at the forefront of this industry? Indeed, throughout this personal statement, there is very little evidence of academic reading or research and no formal quotes or references, which weakens the application.

Wanting to offer everyone a ‘convenient life’ is far too generalised. It wastes the opportunity to identify specific organisations or practitioners within the industry that the writer might aspire to work with.

Equally, there is no information regarding specific research projects, professors or alums that the writer particularly wants to engage with. Consequently, there isn’t a compelling reason why the candidate has chosen this particular university. 

Last, the writer hasn’t indicated what value they might bring to the faculty. The last paragraph should always outline the potential contributions of the applicant to the university community, showing the added qualities they will bring.

For more great advice, check out my article on writing an excellent final personal statement paragraph here .

personal statement for business intelligence

Click here or on the banner below to get your free download of this complete personal statement example.  

personal statement for business intelligence

Whether you’re looking for personal mission statement examples or an example of personal purpose statement, I hope this personal statement example has been helpful. Above all, I wish you every success in your academic career. 

If you’d like to work with me to develop your personal statement 1:1 and write a powerful mission statement, I’d be delighted to hear from you. 

Find out about my personal statement support services by clicking here or on the image below.

personal statement for business intelligence

Research and content verified by Personal Statement Planet .

David Hallen

I've worked in the Further Education and University Admissions sector for nearly 20 years as a teacher, department head, Head of Sixth Form, UCAS Admissions Advisor, UK Centre Lead and freelance personal statement advisor, editor and writer. And now I'm here for you...

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Sample Personal statement for Business Intelligence and Analytics System

Can anyone please help me with sample person statement for Business Intelligence and Analytics System. I am soo confused at the moment not able to structure my content properly.

StandOut CV

Business Intelligence Analyst CV example

Andrew Fennell photo

You’ve got a head for numbers and a heart for data, that’s why you’re a skilled business intelligence analyst.

The tricky part is making sure you apply these skills to your CV to effectively showcase your achievements and secure an interview.

So, to help you do this, we’ve put together a step-by-step guide, complete with a business intelligence analyst CV example. Check them out below.

CV templates 

Business Intelligence Analyst CV example

Business Intelligence Analyst CV 1

Use this CV example as a guide to formatting and structuring your Business Intelligence Analyst CV, so that busy recruiters can easily digest your information and determine your suitability for the role.

It also provides some insight into the key skills, experience and qualifications you need to highlight.

CV builder

Business Intelligence Analyst CV format and structure

Hiring managers and recruiters are frequently overloaded with applications, and if they can’t identify the relevant information in your CV within a few seconds, your application may be overlooked.

To avoid this, it’s essential to format and structure your CV in a manner that makes it simple to pick out the most important information, even if the reader is in a rush.

How to write a CV

Tips for formatting your Business Intelligence Analyst CV

  • Length: Two sides of A4 makes for the perfect CV length , though one page is okay for less experienced applicants. This forces you to make sure that every single sentence adds value to your CV and ensures you avoid unnecessary  info.
  • Readability : To help recruiters quickly skim through your CV, it’s important to format your section headings with bold or a different colour font and break up lengthy paragraphs into short sharp bullet points. This enables them to easily identify important information and assess your suitability.
  • Design & format: When it comes to CV design, it’s best to keep things simple and sleek. While elaborate designs certainly command attention, it’s not always for the right reasons! Readability is key, so whatever you choose to do, make sure you prioritise readability above everything.
  • Photos: Profile photos or aren’t a requirement for most industries, so you don’t need to add one in the UK – but if you do, just make sure it looks professional

Quick tip: Creating a professional CV style can be difficult and time-consuming when using Microsoft Word or Google Docs. To create a winning CV quickly, try our quick-and-easy CV Builder and use one of their eye-catching professional CV templates.

CV formatting tips

CV structure

As you write your CV , work to the simple but effective structure below:

  • Name and contact details – Pop them at the top of your CV, so it’s easy for recruiters to contact you.
  • CV profile – Write a snappy overview of what makes you a good fit for the role; discussing your key experience, skills and accomplishments.
  • Core skills section – Add a short but snappy list of your relevant skills and knowledge.
  • Work experience – A list of your relevant work experience, starting with your current role.
  • Education – A summary of your relevant qualifications and professional/vocational training.
  • Hobbies and interests – An optional sections, which you could use to write a short description of any relevant hobbies or interests.

Now you understand the basic layout of a CV, here’s what you should include in each section of yours.

Contact Details

Contact details

Tuck your contact details into the corner of your CV, so that they don’t take up too much space. Stick to the basic details, such as:

  • Mobile number
  • Email address – It should sound professional, such as your full name.
  • Location -Just write your rough location, rather than your full address.
  • LinkedIn profile or portfolio URL – If you include these, ensure they’re sleek, professional and up-to-date.

Business Intelligence Analyst CV Profile

Recruiters and hiring managers are busy, so it’s essential to catch their attention from the get-go.

A strong introductory profile (or personal statement , for junior candidates) at the top of the CV is the first thing they’ll read, so it’s a great chance to make an impression.

It should be a short but punchy summary of your key skills, relevant experience and accomplishments.

Ultimately, it should explain why you’re a great fit for the role you’re applying for and inspire recruiters to read the rest of your CV.

CV profile

How to write a good CV profile:

  • Make it short and sharp: Aim for a short, snappy paragraph of 3-5 lines. This is just enough room to showcase why you’d make the perfect hire, without going into excessive detail and overwhelming busy recruiters.
  • Tailor it: Not tailoring your profile (and the rest of your CV) to the role you’re applying for, is the worst CV mistake you could make. Before setting pen to paper, look over the job ad and make a note of the skills and experience required. Then, incorporate your findings throughout.
  • Don’t add an objective: You only have a small space for your CV profile, so avoid writing down your career goals or objectives. If you think these will help your application, incorporate them into your cover letter instead.
  • Avoid generic phrases: If your CV is riddled with clichès like “Dynamic thought-leader”, hit that delete button. Phrases like these are like a broken record to recruiters, who read them countless times per day. Hard facts, skills, knowledge and results are sure to yield far better results.

Example CV profile for Business Intelligence Analyst

What to include in your business intelligence analyst cv profile.

  • Experience overview: Showcase your aptitude for the job you are aiming for by giving a brief summary of your past work history , including the industries you have worked in, the kinds of employers you have served, and the roles you have held.
  • Targeted skills: Make your most relevant Business Intelligence Analyst key skills clear in your profile. These should be tailored to the specific role you’re applying for – so make sure to check the job description first, and aim to match their requirements as closely as you can.
  • Important qualifications: If the jobs you are applying to require candidates to have certain qualifications, then you must add them in your profile to ensure they are seen by hiring managers.

Quick tip: If you are finding it difficult to write an attention-grabbing CV profile, choose from hundreds of pre-written profiles across all industries, and add one to your CV with one click in our quick-and-easy CV Builder . All profiles are written by recruitment experts and easily tailored to suit your unique skillset.

Core skills section

To ensure that your most relevant skills catch the eye of readers, create a core skills section below your profile.

This section should be presented in 2-3 columns of bullet points highlighting your applicable skills. Before crafting this section, carefully examine the job description and create a list of any required skills, specialisms, or knowledge.

Use this list to include the necessary information in your section and present yourself as the ideal match for the position.

Core skills section CV

Important skills for your Business Intelligence Analyst CV

Data Analysis – Analysing complex data sets, identifying patterns, and extracting insights to support decision-making and business strategies.

SQL Programming – Utilising Structured Query Language (SQL) to retrieve, manipulate, and analyse data from relational databases.

Data Visualisation – Creating visually appealing and informative dashboards, reports, and data visualisations using tools like Tableau, Power BI, or QlikView.

Data Warehousing – Utilising knowledge of data warehousing concepts and experience in designing and managing data warehouses for efficient data storage and retrieval.

Business Intelligence Tools – Utilising business intelligence tools and platforms, such as Microsoft BI, Oracle BI, or SAP BusinessObjects, to extract, transform, and load data.

Statistical Analysis – Applying statistical techniques and methods to analyse data, perform hypothesis testing, and build predictive models.

Data Mining – Utilising data mining techniques to discover meaningful patterns and relationships in large datasets, including classification, clustering, and association analysis.

Data Governance – Utilising knowledge of data governance principles and practices, including data quality management, data privacy, and compliance with regulatory requirements.

Reporting and Dashboarding – Creating automated reports and interactive dashboards to monitor key performance indicators (KPIs) and track business metrics.

Business Acumen – Utilising knowledge of business operations, key performance indicators, and industry trends to provide valuable insights and recommendations to stakeholders.

Quick tip: Our quick-and-easy CV Builder has thousands of in-demand skills for all industries and professions, that can be added to your CV in seconds – This will save you time and ensure you get noticed by recruiters.

Work experience

Recruiters will be itching to know more about your relevant experience by now.

Kick-start this section with your most recent (or current) position, and work your way backwards through your history.

You can include voluntary and freelance work, too – as long as you’re honest about the nature of the work.

Work experience

Structuring each job

If you don’t pay attention to the structure of your career history section, it could quickly become bulky and overwhelming.

Get in recruiters’ good books by creating a pleasant reading experience, using the 3-step structure below:

Role descriptions

Start with a 1-2 sentence summary of your role as a whole, detailing what the goal of your position was, who you reported to or managed, and the type of organisation you worked for.

Key responsibilities

Using easy-to-read bullet points, note down your day-to-day responsibilities in the role.

Make sure to showcase how you used your hard sector skills and knowledge.

Key achievements

To finish off each role and prove the impact you made, list 1-3 stand out achievements , results or accomplishments.

This could be anything which had a positive outcome for the company you worked for, or perhaps a client/customer. Where applicable, quantify your examples with facts and figures.

Sample job description for Business Intelligence Analyst CV

Work as a Business Intelligence Analyst for a leading online clothing retailer, completing complex analysis on big data to support the optimisation and development of an e-commerce website that is currently live in 15 countries.

Key Responsibilities

  • Utilise ETL tools, SQL, and Python to extract, transform and load large datasets
  • Design and develop systems for analysing data, collecting metrics and reporting
  • Mine analytical and customer requirements insight data
  • Design and develop reports and dashboards using Tableau and Google Analytics to provide insights on various KPIs for the e-commerce department

Quick tip: Create impressive job descriptions easily in our quick-and-easy CV Builder by adding pre-written job phrases for every industry and career stage.

Education section

After your work experience, your education section should provide a detailed view of your academic background.

Begin with those most relevant to Business Intelligence Analyst jobs, such as vocational training or degrees. If you have space, you can also mention your academic qualifications, such as A-Levels and GCSEs.

Focus on the qualifications that are most relevant to the jobs you are applying for.

Hobbies and interests

Although this is an optional section, it can be useful if your hobbies and interests will add further depth to your CV.

Interests which are related to the sector you are applying to, or which show transferable skills like leadership or teamwork, can worth listing.

On the other hand, generic hobbies like “going out with friends” won’t add any value to your application, so are best left off your CV.

A strong, compelling CV is essential to get noticed and land interviews with the best employers.

To ensure your CV stands out from the competition, make sure to tailor it to your target role and pack it with sector-specific skills and results.

Remember to triple-check for spelling and grammar errors before hitting send.

Good luck with the job search!

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Business and it personal statement example 2.

What would life be without technology? In this world that we live in it is impossible to be fully efficient in a business society without having grasp knowledge of information and communications technology. Information technology ever changing in our business society and I desire to be a part of this changing process.

Through out years of studying Information Technology I have grown to like the subject. Although, part of the course is somewhat demanding, the further involvement in the course is what has drawn me most to the course.

My utmost belief is that a combination of both courses would enlighten and engage me through out my degree course. In my years of studying information and communication technology I have used softwares like Macromedia Flash and Macromedia Dreamweaver to create websites and also the use of Microsoft Access to arrange data bases for businesses as my coursework.

Both Business and Information and Communications Technology are subjects I am totally in love with and testimony to this fact is the AS Award for Information and Communications Technology I received in the recent past. I have also excelled greatly in Business Studies both in GCSE level and AS level and hope to excel further in years to come at your university.

The world has had a rapid grown in global markets through automation and e-commerce and this can be linked with Information Technology and the web with the ultimate goal of being more efficient in the rapidly growing global market. All these have provided me with inspiration to be involved in a world where new technology is being developed.

On a lighter note, I work in my school as a lunch time supervisor every lunch time for the past two years.

This job has taught me what commitment, hard work and time management is all about as I have managed to blend both my academics and my job together and still be prompt in submitting in work and preparing for exams and excelling in them.

I thrive in situations where I have to work under pressure as it makes me alert and spurs me in doing even greater things. My further sense of responsibility comes from my post as been Sanderson's events captain for my school. This has given me the opportunity to be in control and create events for the house as well as feel as part of a team.

Other aspects of life that interests me out of school are charitable works. I have seen first hand, the misfortune of people being born into the poverty trap and the human rights violations that ordinary people like us have to face because of the misfortune of being born into one of the poorest countries and continents on earth.

This has made me more aware than other teenagers of the less privileged and handicapped in every society I live and always eager to render my help and support in any way I can. This has led me to volunteer at the Little Monkey's Toddler group in Shaftesbury every week.

In addition to that every Friday, I go to a neighbouring disabled children's primary school to help the teachers out with their sporting activities. Furthermore I am a member of the global student forum in which our aim is to see changes in our society by using our initiative to make the world a better place.

Sometimes I see my self at the top floor of a business institution looking down at the works of my hands and I feel a sense of achievement, fulfilment, accomplishment and triumph all at the same time. In faith, this dream would be completed through hard work and commitment inside an Information technology and business degree for the next four years.

A wise man once told me that there are three types of people in this life, those that make it happen, those that watch it happen and those that ask: what happened? My aim is to be in the group of those who make it happen. I hope to be an asset to your university both academically and socially.

Profile info

This personal statement was written by 01rufatem for application in 2007.

01rufatem's Comments

please comment on it tell me what you think and also u can write improvements

Related Personal Statements

This is brilliant!!!!!

Sat, 27/10/2007 - 15:48

I would love to be one of

Mon, 19/10/2009 - 10:14

I would love to be one of among those people who make it happen. Simply, i just loved your personal statement. it was such a well explained and very impressive statement. I would really want you to achieve all your goals. Best of luck. Taslima

Tue, 19/10/2010 - 10:13

Hehe, what other better way to start a personal statement then a rhetorical question? :)

Add new comment

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