Data Analyst Resume Examples

Take a look at data analyst resume examples to get inspired


Professional Resume Samples for a Data Analyst

Our professionally written resume samples will ensure you impress potential employers

Data Analyst Resume Tips and Ideas

Data analysts work in a variety of different fields to collect and analyze data relative to optimizing specific processes in private and government contexts.

In addition to strong technical skills in mathematics and information technology, data analysts need to be able to work effectively with others as they often perform in roles that require being able to listen to the needs of different team members to understand their specific requirements.

It is extremely important to customize a data analyst resume and cover letter to show a strong fit for the exact job at hand. This may mean swapping out some of your qualifications to showcase a specific skill set that is most relevant to the job you are applying for.

The words to use on your data analyst resume are also critical. Where possible, include likely keywords from the job advertisement in order to highlight a strong fit. In addition, be sure to read on to learn common action verbs hiring managers are looking for from top candidates.

Top Tips

  • Functional
  • Combination

Advanced design elements recommended





  • Contact information
  • Education and certifications
  • Technical skills
  • Work history


  • Objective statement
  • Soft skills
  • Honors and awards
Resume Length

1-3 pages, depending on your experience level and career stage


Functional format: In most cases, a functional resume layout is the right choice for people pursuing jobs in highly technical fields such as data analysts. This resume style allows you to showcase your technical proficiencies which is the primary factor in hiring decisions.

The key to using this style of resume well is to look over the job description carefully and determine which skill sets will be central to performing well in that role. Then use that information to present your top qualifications in an easy-to-read way using expert resume design techniques.

Combination format: This data analyst resume format is the way to go if you have extensive work history in the field. It will allow you to lead with a technical skills section, followed by detailed bullet lists of responsibilities you have had in previous jobs.

Your work history section should start with your most recent (or present) job first, followed by older jobs. As you think about which responsibilities to include, make sure that those most relevant to the job you are applying for are listed first. Be concise and remember that each word takes up valuable space on your resume.


Use advanced design elements that showcase your ability to craft strong reports that highlight the most important information, in this case, your strong technical skills. In addition to judicious use of bold headings, text boxes, and light shading, you may consider using some advanced design elements to showcase your ability to create stunning and visually compelling presentations.

For example, icons for specific computer language or software proficiencies can add some visual appeal to your technical skills section. Carefully designed infographics can communicate some of the numerical data that shows off your previous accomplishments.

Since a professionally designed resume is important for this role, be sure to look over our resume templates and samples to make building your resume a snap.


There is no need to include a photo of yourself on your resume. In some cases, it may even hurt your chances of having your application materials reviewed by the hiring team.

Sections of a Resume

The sections you use on your data analyst resume will vary depending on the job you are applying to and your specific background. Most of the time, the following sections are more or less required:

  • Contact information
  • Education and certifications
  • Technical skills
  • Work history

In order to showcase your strong fit for a specific job, it may be helpful to include one or more of these optional sections:

  • Objective statement
  • Soft skills
  • Honors and awards

A resume objective statement, for example, allows you to create a short narrative near the top of your resume to highlight your strengths relative to the specific needs of the company you are applying for. If you happen to have experience with data management in a health care context that would make you a strong candidate to assist a start up in the same field, this is the place to make your case.

Resume Length

How long should your data analyst resume be? The answer to this question should be determined by the amount of relevant experience or qualifications that you have.

Obviously, for more advanced positions you will need to include more information to demonstrate your core competencies. It is also important that you are not redundant. If you find your work history is repetitive, include key aptitudes in your technical and soft skills sections to avoid saying the same thing over and over again. 1-3 pages is the typical range, with 2 pages being the industry standard.

Data Analyst Resume Section Headings

This part of our guide offers tips on how to fill out key sections for your data analyst resume. Remember that the goal of each section should be to demonstrate the required and preferred qualifications of the job you are applying to, which you can find in the job description itself.


Start by listing any college degrees along with the name of the institution and the year you graduated. Follow this with a list of relevant certifications in data analysis. For example, Amazon Web Services (AWS) Certification in Big Data, Certified Analytics Professional, or IBM Certified Data Engineer are examples of certifications that are particularly relevant to data analytic jobs working with big data.


Technical Skills

The technical skills section of your data analyst resume should focus on wowing your potential employer with the data collection and management programs you are proficient in. List them in the order of relevance to the exact job you are applying for first. Examples may include: XML, Javascript, SAS, SQL, Hadoop, etc.

Soft Skills

If the position you are applying for makes it clear that you will be working closely with other team members, it is particularly important that you emphasize soft skills on your resume.

Examples of soft skills to emphasize include working well in diverse teams, ability to listen and ask the right questions to accurately define organizational needs, and the ability to produce meaningful reports that translate data into actionable information.

Data Analyst Resume Vocabulary & Writing Tips

As you may already know, applicant tracking systems (ATSs) are routinely used to screen resumes to make sure the most qualified applicants make their way to human reviewers who are often pressed for time. These programs are looking for specific keywords and action verbs to decide which resumes have the most potential. Use the job description to identify the kinds of skills and action verbs to use. In addition, view our list of resume vocabulary for data analysts below to get started.

Words to Use

  • Statistical methods
  • Attention to detail
  • Insight
  • Process improvement
  • Data collection
  • Primary sources
  • Quality control
  • Technical expertise
  • Data management
  • Database administration
  • Performance indicators
  • Accuracy
  • Data mining
  • Information
  • Trends
  • Communication

Action Verbs

  • Analyze
  • Collaborate
  • Maintain
  • Present
  • Interpret
  • Acquire
  • Improve
  • Code
  • Identify
  • Develop
  • Optimize
  • Define
  • Model
  • Monitor
  • Report
  • Collect

Resume Samples

1. Experienced candidate seeking Marketing Data Analyst position in a business oriented role.

Example of technical skills section:

  • Identify and analyze emergent market trends using a multi-faceted data collection approach and sound modeling methods
  • Work with sales teams to develop targeted branding strategies to cultivate loyal and engaged customers
  • Produce meaningful reports to drive product development and marketing strategies
  • Innovative data mining practices with proficiency across multiple data collection platforms
  • Proven track record improving gross sales in both brick and mortar and online contexts with effective use of social metrics and large databases of purchasing behavior
  • MBA
    with a data analytic focus
  • 3 years
    of experience in advertising
  • 2 years
    of experience in sales

2. Candidate seeking Quantitative Analyst position at an investment firm.

Example of technical skills section:

  • Provided actionable quarterly reports to management to lower risk and improve profitability of various financial instruments
  • Developed data collection tools to streamline the mortgage review process
  • Worked with fund managers to develop investment analytic tools to improve real time decision making
  • Applied sound actuarial methods to improve annual earnings by 25% over three years
  • B.S.
    degree in Mathematics
  • M.S.
    degree in Financial Economics
  • 3 years
    of actuarial experience at a bank

Last modified on September 25th, 2019

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