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.
Edit this CV template for a data analyst, or check out the rest of our layouts on our CV templates page.
More CV examples for the next step in your statistics career
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
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.
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.
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.
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.
See why My Perfect Resume is a 5-star resume builder
Action verbs for your data analyst CV
As you can see in our data analyst CV examples, action verbs make your work accomplishments stronger. Instead of using pronouns like “I” or “my,” consider some of the options below:
- 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:
- Use cases
- Process mapping
- Excellent time management
- Defect tracking
- Attention to detail
- Data quality assurance processes
- Great communication skills
- Data profiling
- Self-sufficient
- Adaptability
- Data formatting
- Activity diagrams
- Data analysis
- SQL
- Business needs analysis
- Creativity
Certifications to include in your data analyst CV
Because competing candidates for data analyst positions have similar statistics or IT degrees and analytical skills, it is a great idea to list relevant certifications in your submission to gain an edge over the competition. This is especially important if you’re creating a data analyst CV with no experience.
One way to point out your certifications is to create a whole separate section under which to list them. If you want to use only the main sections that our data analyst CV examples use, put your certifications in your education section. Position them beneath your post-secondary degree and include the official title of each certificate.
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
Data analyst CV FAQ
1. What should you include about your accomplishments on your data analyst CV?
Many job seekers use passive language and list mundane duties in their experience section, making their overall document much less impressive to hiring managers. Avoid this mistake by listing professional accomplishments in this section, beginning every description with a strong action verb, as exemplified in the data analyst CV sample.
List any relevant accomplishments you remember, such as improving business operations or implementing better database systems or data compilation techniques. Use numbers, percentages and other metrics to paint a clear picture in prospective employers’ minds of how you might benefit them if they hire you.
2. 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 builder 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.
3. 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.
4. 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.
- Don’t pass over any of the sections of 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.
5. 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 analysing 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.
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?
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.
