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An effective data analyst CV is crucial to landing one of the 17,700 yearly openings projected by the Bureau of Labor Statistics. The demand for skilled data analysts is ever-growing, 35% over the next decade, much faster than the 5% all occupation projected growth. Whether you are a recent graduate or looking to transition into the field, crafting a compelling CV is essential to showcase your skills and stand out from the competition.
Our data analyst CV example is an excellent place to learn how to format your document and what information to include.
Edit this CV template for a data analyst, or check out the rest of our layouts on our CV templates page.
Data analyst CV example (text version)
Oscar Adams
Ponte Vedra Beach, FL 32082
(555) 555-5555
(555) 555-5555
example@example.com
Professional Statement
Skilled data analyst with more than 10 years of industry experience in collecting, organizing, interpreting and disseminating various types of statistical figures. Energetic presenter and confident communicator with the ability to circulate information in a way that is clear, efficient and beneficial for end users. Creative in finding solutions to problems and determining modifications for optimal use of organizational data.
Core Qualifications
- Compiling data
- Industry report reading
- Project management
- Critical thinking
- Business intelligence systems
- Data visualization
- Attention to detail
- Problem-solving
Education
- The University of West Florida Pensacola, FL
Master of Science Data Science - Florida State College Jacksonville, FL
Bachelor of Science Data Management Technology
Work Experience
February 2021 – Current
PGA Tour – Ponte Vedra Beach, FL
Data Analyst II
- Collect data from sales, marketing and finance departments to use in establishing organizational structure.
- Organize, extrapolate and disseminate data across departments to be used to conclude current methods’ success.
- Present detailed reports about the meaning of gathered data to members of management and help them identify scenarios utilizing modifications in the data.
March 2018 – February 2021
Citi – Tampa, FL
Data Analyst I
- Organized quarterly projection data gathered by senior analysts in an orderly way for executive management.
- Reported bi-monthly data analysis findings to upper management to use in making organizational decisions.
- Ensured over 120 projects’ delivery within the allocated timelines and priorities.
June 2012 – August 2015
LTC Global, Inc – Fort Myers, FL
Data Analyst Apprenticeship
- Worked with advanced calculations to draw conclusions about data findings.
- Assisted superiors with interpreting data and compiling it in an organized manner.
- Presented detailed reports each quarter to upper management alongside my apprentice supervisor.
Technical Skills
- Structured Query Language (SQL)
- Microsoft Excel
- MATLAB
- Python
- SQL and NoSQL
- Machine Learning
- Linear Algebra and Calculus
Relevant Skills
- Detail-oriented, thorough and vigilant to collect all necessary data without missing critical components.
- Skilled understanding of data analysis to effectively interpret findings in a way that makes sense to end users.
- Competent communicator and confident presenter to report analytics findings to members of senior management.
- Creative in putting together projections for various scenarios to assist departmental experts in making future decisions regarding the organization’s growth.
- Technologically savvy to assist end users with understanding technology, software updates and changes to existing protocols.
- Enthusiastic and friendly team player who can motivate colleagues and contribute to shared objectives in efforts to accomplish departmental goals.
Professional Affiliations and Memberships
- Data Science Association (2015)
- Digital Analytics Association (2015)
Certifications
- CBAP – Certified Business Analysis Professional
- CompTIA Data+ – (2019)
- Cloudera Certified Associate (CCA) Data Analyst – (2017)
- Microsoft Certified: Data Analyst Associate – (2016)
Languages
- English
Native or Bilingual - Spanish
Native or Bilingual - Portuguese
Full Professional
Top 4 characteristics of a best-in-class data analyst CV
Professional summary
Start your data analyst CV by highlighting your top skills and work achievements related to the job in a professional summary. This is your introduction to the hiring manager. Using the job description, pick out the most important desired qualifications listed to tailor your summary.
Skills
List a few key analytics skills in the core qualifications section of your data analyst CV, especially if the job listing mentions them as desired skill sets. Be sure to include soft skills, such as communication or problem-solving, and hard skills in your bullet points.
Work history
Write your work experience in reverse-chronological order, with your current or latest job on top. Include three to five bullet points for each job with major responsibilities and work accomplishments.
For example:
Data Analyst
BitCorp | June 2022- Current- Increased customer retention rates by 20% by implementing targeted email campaigns based on customer purchase history analysis.
- Developed a forecasting model that accurately predicted sales trends, resulting in a 15% increase in revenue for the company.
- Reduced operational costs by 25% through optimizing supply chain processes, utilizing data analysis to identify inefficiencies and implement improvements.
Education
As a data analyst, you most likely have a bachelor’s degree in statistics, as our data analyst CV sample shows, or in another relevant field such as information technology. Use your education section to display your degree. If you graduated more than 10 years ago, you don’t have to include the graduation date.
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Action verbs for your data analyst CV
As the data analyst CV examples show, action verbs strengthen your work accomplishments. These verbs stand alone, so avoid using pronouns like “I” or “my,” which will help you save space.
- Documented
- Collaborated
- Reported
- Shaped
- Screened
- Inspected
- Proposed
- Proved
- Supervised
- Reorganized
- Updated
- Structured
Include the best action verbs in your data analyst CV using our CV maker.
Skills for your data analyst CV
Read the job description well and highlight your most relevant skills on your data analyst CV. Some related skills you can include:
- Data cleaning
- Data wrangling
- Process mapping
- Statistical analysis
- Data management
- Machine learning
- Cloud computing
- Data analyst skills
- Defect tracking
- Data quality assurance processes
- Data profiling and formatting
- SQL
- Critical thinking
- Attention to detail
Certifications to include in your data analyst CV
Certifications can help you stand out by gaining an edge over the competition. This is especially important if you’re creating a data analyst CV with no experience. A dedicated certifications section in your data analyst CV can catch a hiring manager’s attention.
Some popular data analytics certifications to consider:
- Google Data Analytics Professional Certificate
- IBM Data Analyst Professional certificate
- Microsoft Data Analyst Associate Certification
- AWS Certified Data Analytics
- SAS Statistical Business Analyst Professional Certificate
- DataCamp
- Cloudera Certified Associate Data Analyst
- Amazon AWS Certified Big Data
- CareerFoundry Data Analytics Program
- Springboard Data Analytics Career Track
- CompTIA Data Analytics Plus certification
Pair your CV with a matching cover letter
FAQ
What should you include about your accomplishments on your data analyst CV?
When crafting a data analyst CV, it is important to highlight your accomplishments in a clear and concise manner. This includes showcasing your technical skills and experience working with data, as well as highlighting projects or initiatives where you have made a measurable impact.
Be sure to include specific metrics or KPIs that demonstrate the effectiveness of your work, such as increased revenue, improved efficiency, or reduced errors. Additionally, highlighting any awards or recognition you have received can help to further illustrate your expertise and value as a data analyst.
What’s a good summary for a data analyst CV?
Use this formula to create a good summary for a data analyst CV:
[Descriptive word] [Your job title] [Experience level] [Work experience] [Skills] [Achievement].
See this formula in action here:
Data-driven data analyst with over five years of experience analyzing complex datasets to identify trends, patterns and insights. Implemented a predictive model to improve customer segmentation and increase customer retention by 15%, with an increase of $1 million within the first year of implementation.
How do I write a data analyst CV with no experience?
When writing a data analyst CV with no experience, highlight your relevant skills and education.
- Start with a professional summary highlighting your skills and goals, then a section focusing on your educational background, including any relevant coursework or certifications.
- In the experience section, focus on any internships, volunteer work, or projects that demonstrate your ability to work with data.
- Highlight your proficiency in tools such as SQL and Python, as well as any statistical analysis or data visualization tools.
- Be sure to proofread your CV thoroughly and tailor it to the specific job you are applying for.
What are the three skills required for a data analyst CV?
Requirements vary by employer. The job description will guide you in determining what the employer is looking for and your research on the company.
Often, three essential skills required for a data analyst CV are technical proficiency in data analysis tools such as SQL, Python and Excel, proficiency in statistical analysis and data visualization, and strong problem-solving and analytical skills.
Experience in data cleaning, data wrangling and data transformation is highly desirable. Don’t forget soft skills, like effective communication and collaboration, which are also important for working with teams and stakeholders to deliver insights and recommendations based on data analysis.
What’s the best way to include digital skills on a data analyst CV?
Proficiencies in programming languages, big data analytics and Structures Query Language are just a few of the digital skills that hiring managers often want data analyst job contenders to possess. If you look at the data analyst CV sample, you will see a few ways to emphasize your skills.
What’s the best CV template for a data analyst CV?
Some templates use modern fonts, pops of color, pictures and innovative layouts to give a CV a creative twist. Use such a template if you seek a position within a company that values design and creativity. Other templates stick to clean, basic layouts with black and white color schemes. These universally-accepted templates are often most appropriate when applying to more traditional companies.
Use our effortless CV Maker to find an outstanding selection of templates. Choose your favorite and follow a few simple steps to create a document in minutes. For more CV-writing assistance, use our CV data analyst example.
What are some tips for creating a great data analyst CV?
- Fill your professional summary with strong, engaging statements about your core competencies. Highlight keywords you may have noticed in the data analyst job description you are responding to.
- Include all essential sections in your CV. A properly formatted curriculum vitae will demonstrate your organizational skills, which is critical for a data analyst when compiling reports.
- In your hobbies and interests section, keep the tone and content professional and avoid getting too personal.
- If you ever have gaps in your work history, don’t try to hide them. Keep those gaps, but don’t provide any explanation as you can clarify this information later on in your interview.
- While work experience is valuable, limit the information you include to highlight your most recent opportunities and accomplishments.
For more details on how to write a winning CV, visit our How to Make a CV page.
What does a data analyst do?
Data analysts are a critical link in the organizational process of any business. Numbers are constantly generated from various important processes, including sales and marketing. As a data analyst, you are responsible for taking these numbers, statistics, and seemingly jumbled data and turning them into something an average person could easily read and understand.
Your responsibilities will include collecting, organizing, extrapolating, interpreting and reporting this data to people who need it to make important decisions. The featured CV for a data analyst on this page is a shining illustration of a well-written document that contains the right information.
Do’s and don’ts for your data analyst CV
- Use measurable achievements to describe your data analysis skills and experience.
- Use action words to make an impact on your data analyst CV.
- Tailor your CV to your target data analyst job.
- Use keywords from the job description throughout your data analyst CV.
- Format your data analyst CV so that it is easy to read by ATS software and human eyes.
- Lie about your data analyst experience and skills.
- Boast about your “incomparable” data analysis abilities.
- Include irrelevant personal information such as your ethnicity and age.
- Add skills and experience that do not pertain to data analysing.
- Forget to proofread. A data analyst CV with errors is unprofessional.
Top 4 tips for interviews for a data analyst job
Research the company.
Beyond reading about the company culture and mission, think about why they’re hiring you and what kind of problem they want you to solve. Big companies and start-ups have vastly different problems that need to be addressed, so consider this as well.
Do a practice round.
It is impossible to nail the exact questions the interviewer will ask you, but you can narrow it down based on general interview and industry-related questions. Make a list of possible questions that might come up and practice at home or with a friend. Having an idea of what you can answer will help you ease the nerves and appear more confident.
Some common questions you can practice include:
Turn the interview into a conversation.
Prepare questions for the end of the data analyst interview. It’ll show your preparation and allow you to interview the interviewer. Remember, this is also your chance to see how this role fits your career goals.
- What are the current goals that the company is focused on, and how does this team work to support hitting those goals?
- What opportunities for professional growth and development are available within the company?
- How has the company changed over the last few years?
- What could you tell me about specific projects or initiatives in which the data analyst role would be involved?
- What are the company’s plans for growth and development?
- What metrics or key performance indicators (KPIs) are typically used to evaluate the success of data analysis projects in this role?
Prepare a separate list of references.
The recruiter or hiring manager will likely ask you for a list of references they can contact. Prepare a separate document ahead of time with three to five professional references you trust will advocate for you as a data analyst.
There’s no need to include references in your CV or the phrase “References available upon request” unless the job description explicitly states it. If so, create a separate section for your references and place it at the end of your data analyst CV.
Cover letter examples for the next step in your statistics career
How we reviewed this article
Since 2012, we have helped more than 11 million job seekers. We want to make your career journey accessible and manageable through our services and Career Center’s how-to guides and tips. In our commitment to bring you a transparent process, we present our Editorial Process.
Sources
U.S. Bureau of Labor Statistics. Career Outlook. Data on display Data occupations with rapid employment growth, projected 2021–31
U.S. Bureau of Labor Statistics. Occupational Outlook Handbook. Data Scientists
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Data Analyst CV Example
Kellie is a career advice writer. She is committed to helping job seekers navigate the job market and succeed in their careers.
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