Data Analyst CV Example, Writing Tips & Questions

Kellie Hanna, CPRW
By Kellie Hanna, CPRW, Career Advice Expert Last Updated: April 03, 2024
Last Updated: April 03, 2024

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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.

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Data analyst CV example (text version)

Oscar Adams

Ponte Vedra Beach, FL 32082
(555) 555-5555
(555) 555-5555

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


  • 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
  • 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)


  • CBAP – Certified Business Analysis Professional
  • CompTIA Data+ – (2019)
  • Cloudera Certified Associate (CCA) Data Analyst – (2017)
  • Microsoft Certified: Data Analyst Associate – (2016)


  • English
    Native or Bilingual
  • Spanish
    Native or Bilingual
  • Portuguese
    Full Professional

Top 4 characteristics of a best-in-class data analyst CV

  1. 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.

  2. 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. 

  3. 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.
  4. 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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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

  1. 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.

  2. 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:

  3. 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?
  4. 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.

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