Data Analyst Resume Examples And Tips

The average resume reviewer spends between 5 to 7 seconds looking at a single resume, which leaves the average job applicant with roughly six seconds to make a killer first impression. Thanks to this, a single typo or error on your resume can disqualify you right out of the gate.

At Zippia, we went through over 61,216 Data Analyst resumes and compiled some information about how best to optimize them. Here are some suggestions based on what we found, divided by the individual sections of the resume itself.

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Five Key Resume Tips For Landing a Data Analyst Job:

Relevant Experience
Make sure that the jobs, experience, and accolades that you do include are relevant to the position you’re applying for.
The Right Skills
This is a great time to run wild with those keywords found in the job description. If they’re looking for someone with Database, be sure to list it as a skill.
Quantifiable Achievements
Achievements and awards relevant to the position speak louder than a high GPA, especially if you can quantify your achievement with a number.
Your Unique Qualities
Recruiters and hiring managers are looking at hundreds of resumes. Let yours stand out, and try not to sound too boring.
Strong Content
If you’ve had a lot of jobs, this shouldn’t necessarily be a list of all of them. This is a document designed to market you to a potential employer, so choose the strongest content.

How To Write a Data Analyst Resume

Contact Information
First things first — employers only spend about six seconds looking at resumes before they decide to keep them or throw them away, so you should definitely let them know whose it is.
Commute and relocation are things that employers take into consideration when sifting through candidates, so provide your current address in your resume header so that employers have an idea of where you are in relation to their office.
LinkedIn Profile
If you feel that a link to your social media profile could further your standing as a candidate, go ahead and include it. This doesn’t mean you should throw in a link to your hilarious Twitter profile, but instead provide your LinkedIn profile.
Professional Summary (Objective)
Career objective statements are one of the most overlooked pieces of otherwise stellar resumes. It’s not that every Data Analyst CV out there needs one — it’s just that the ones that really do need them typically never think to include them.
The goal of this section is simple: to summarize the resume in a few short sentences. Through your resume summary you enable employers to quickly learn whether you are a good match for the job. Here are a few things to keep in mind when writing a professional summary:
Keep it short: it should be 4 sentences max
Highlight your most impressive skills or achievements

Not sure which skills are really important?

3 Big Tips For Listing Skills On Your Resume
Make sure to only include your hard skills on your resume. In addition, include the most in-demand data analyst skills. Below we have listed the top skills for a data analyst : The more keywords your resume can “match,” the more likely it is that your resume will be selected for review by human eyes.
Top Skills for a Data Analyst
Here are a few key points of to keep in mind while writing your skills section:
Include between 6 to 12 skills
Make sure to only include hard skills
Highlight your most impressive skills or achievements
We compared 61,216 resume examples and job offers and found that the average experience required for a data analyst job required by employers is 2.0 years.
How much work experience do employers want to see?
The average data analyst job listing asks for 2.0 years of work experience.
How much work experience does the average data analyst candidate have?
The average data analyst resume contains 4.0 years of work experience.
Write your work experience section in a way that embraces your data analyst skills. Sounds easier said than done? Take a look at how other people have done it. Below are real examples from data analyst resumes that people have included in their work experience section to demonstrate their knowledge of key skills:
Loan Processor (Part-Time)

Candidate Info

Years In Workforce
Years As a Data Analyst
Bachelor's Degree
Bachelor's Degree - Psychology
  • Experience with reviewing HUD and Demand Statements.
  • Assisted VOE and Sales Cancellation Loan Administration Managers with various tasks.
  • Worked with various third party vendors ordering and updating pertinent documentation.
  • Input data into Calyx Mortgage Software.
  • Reviewed valuations to determine whether to continue with foreclosure process or pursue alternative resolutions.
Quality Assurance Analyst

Candidate Info

Years In Workforce
Years As a Data Analyst
Bachelor's Degree
Bachelor's Degree - Computer Engineering
  • Used Junit API for testing in a Test Driven Environment(TDD).
  • Review credit documents for completeness and accuracy to assure a 30 day eta on decisions.
  • Coordinated mainframe (Cobol II, DB2) based system changes with Project Managers, Change Control Coordinator and other developers.
  • Experience in writing test cases, executing and raising defect in QC.
  • Conduct network Vulnerability Assessments using tools to evaluate attack vectors, Identify System Vulnerabilities and develop remediation plans and Security Procedures.
Data Analyst

Candidate Info

Years In Workforce
Years As a Data Analyst
Bachelor's Degree
Bachelor's Degree - Computer Science
  • Implemented enterprise wide reusable ETL strategies like Restart Strategy, Reload Strategy, Recover Strategy, and Load Strategy using Informatica.
  • Managed data quality project to analyze and build quality assurance model for SQL market information databases.
  • Created SQL scripts to test the stored procedures by sending different sets of input parameters.
  • Act as liaison between the development team and business users, quality assurance (QA) team, Web services team.
  • Evaluate and investigate credit risk and fraud by analyzing financial records.

Candidate Info

Years In Workforce
Years As a Data Analyst
Bachelor's Degree
Bachelor's Degree - Business/Commerce
  • Created owners of Apple products by sharing personal experiences, advice, and knowledge of all of Apple's product lines.
  • Provided sales guidance to customers for all Apple products, including Macintosh, iPod and iPhone.
  • Provide significant value to customers with knowledge and expertise of Apple and its various products.
  • Provided recommendations, training and assistance for various Apple based systems.
  • Thrill customers by consistently finding ways to make their ownership experience better than ever.
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As a data analyst, you may be curious how your education stacks up against other applicants. As long as you have a bachelor's degree, you're in the majority. Our research showed that most Data Analysts have a 4-year degree as the highest education level.
Overwhelmingly, those applying to data analyst positions majored in Business. Some of the other common majors that appear on data analyst resumes include Computer Science, Finance, and Accounting.
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As shown above, the Education section can be very brief. However make sure to include the following:
The name of the school you attended
The year you attended
Your major
Your GPA
The level of education you attained

Data Analyst Salary

Did your resume land you an interview? Be prepared to talk salary.

How To Answer "What Are Your Salary Requirements"

When you are ready to send your resume to employers, it's important to be aware of the current market conditions for Data Analysts. Salary can vary based on factors such as location, company, and industry. Check out our detailed salary information for Data Analysts to learn more.

Average Employee Salary
Min 10%
Median 50%
Max 90%