Data Analyst CV Example, Writing Tips & Questions

Your curriculum vitae is more than a mandatory submission before consideration for a job. It is a critical component that can give you a leg up on your competition and position you as the most viable candidate. You can demonstrate how you can make a difference with descriptive, accurate information that illustrates your work experience and skill set

Our data analyst CV example is an excellent place to learn how to format your document and what type of information to include. 

Explore our CV examples to get more inspiration.

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Data Analyst CV Template

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

  1. Professional summary

    The professional summary is the perfect place to catch the hiring manager’s attention. Start your data analyst CV by highlighting your top skills and work achievements related to the job. Always review the job description and pick out the most important desired qualifications listed in it to include them in your professional summary, as well as the rest of your CV.

  2. Skills

    List a few key digital 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. Check out our Top Skills article for more examples of a well-rounded skills section.

  3. Work history

    List your work experience in reverse-chronological order — meaning that your current or latest job goes at the top. For each job, include three to five bullet points with major responsibilities and work accomplishments; avoid just mentioning mundane daily tasks. Read our How to Write a Perfect Work Experience article for a more detailed guide.

  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 analysing 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.

    Hiring managers almost always give you a chance to ask them questions at the end of the interview. Instead of saying that you’re good to go, write a list of questions ahead of time and don’t be afraid to ask them. Turning an interview into a conversation is a great way to show genuine interest in the company and job opening. Here are some questions you can ask:

    • What are the current goals that the company is focused on, and how does this team work to support hitting those goals?
    • How has the company changed over the last few years?
    • What are the company’s plans for growth and development?
  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.