10 Data Analyst Resume Examples & Writing Guide

Data analyst resume template (text format)

Add the text of this example to your favorite resume template and then personalize it to save yourself time setting up your resume:

Job-specific data analyst resume samples

Our team of career experts has put together these resume examples to help inspire you when writing your own resume:

Data analyst intern resume

An effective data analyst intern resume should highlight your academic achievements, relevant coursework, and any previous internship or project experience, like this example:

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Why this example works

• Includes projects: Instead of a standard work experience section, this candidate includes projects on their resume to show that they’re qualified despite having limited work experience.
• Well-organized layout: The well-defined section and horizontal lines make this resume format easy to scan.

Junior data analyst resume

Our junior data analyst resume example illustrates how to highlight internship experience and any initial professional exposure to data analysis:

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Why this example works

• Bold header: This resume’s header is attention-grabbing while remaining professional.
• Showcases skills throughout: The candidate mentions their skills in both the skills section and the work experience section.

Data entry clerk resume

Your data entry resume needs to showcase your ability to accurately input and manage data while adhering to strict deadlines. For example:

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Why this example works

• Includes hard numbers: The candidate quantifies achievements on their resume to show potential employers that they really do have the skills they claim.
• Clean layout: This resume’s professional fonts and well-defined sections set a professional tone.

Data engineer resume

Our data engineer resume example will show you how to showcase your technical expertise, problem-solving abilities, and experience in handling large-scale data infrastructure:

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Why this example works

• Compelling introduction: The career summary mentions specific skills and technologies to help potential employers quickly get a sense of the applicant’s qualifications.
• Subtle colors: This resume’s colors are low-key and professional, which is perfect for a formal field like data engineering.

Big data resume

Check out this big data resume example to learn how to highlight your ability to extract valuable insights from large and complex datasets:

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Why this example works

• Specific skills section: The candidate lists the specific technologies they’re proficient in so that employers can get a good sense of their qualifications.
• Emphasis on experience: This resume template has plenty of room for the candidate to go into detail about their professional experience.

Database administrator resume

Check out our database administrator resume example to help you learn how to effectively show off your technical prowess and problem solving abilities:

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Why this example works

• Skill ratings: The candidate gives additional context to their skills by adding graphics that show their proficiency in each skill.
• Eye-catching layout: This resume’s layout is unique and sure to grab hiring managers’ attention.

Finance analyst resume

By following this example, you can create a compelling resume that demonstrates your skill in interpreting complex financial data, conducting variance analyses, forecasting, and presenting actionable recommendations to stakeholders:

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Why this example works

• Striking heading colors: The turquoise headings add visual interest without being distracting.
• Strong introduction: This resume’s introduction effectively highlights the candidate’s key skills and qualifications.

Average data analyst salaries in the US

The following table includes information from O*NET Resource Center by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license, this data is pulled from the most recent US Bureau of Labor Statistics’ Employment & Earnings report (as of 10/16/2024), featuring the top states by use.

How to write a data analyst resume

Our expert writing guide will teach you how to write a data analyst resume that impresses hiring managers.

1. Start with an effective resume summary

Start your data analyst resume with a strong resume summary that highlights your professional background and qualifications.

Here are some examples to use as a guide when writing your own:

2. Highlight data analyst skills and keywords

Hiring managers quickly scan resumes for relevant technical skills.

Read the job description closely to look for skills-based keywords the hiring manager included in the job ad. Then, either list them in your skills section or describe how you applied them in your work experience bullet points.

To help you get started, we grabbed the top keywords from 793 real data analyst job descriptions:

3. Quantify your accomplishments

Quantifying achievements on your resume allows employers to get a better sense of the impact you had at your last job. The more hiring managers can understand what you can achieve, the more likely they are to call you in for an interview.

Here are two examples of how to write about past achievements with data for context:

• Consolidated data and developed operations/procedures, improving workflow by 18%
• Analyzed 5,000+ contacts in a spreadsheet, successfully drawing conclusions about consumer data

4. Include your relevant education and certifications

Make sure you highlight your degrees in your education section, like this:

Employers always appreciate candidates who are dedicated to continued learning and improvement, so make sure you also include any certifications you’ve completed. If you only have one or two additional certifications, you can create a combined education and certifications section, like this:

If you have several certifications, you can put them in a dedicated certifications section, like this:

Additional resources

Are you a current student or considering a career change and looking for tips on how to get started as a data analyst? Check out this video by experienced data analyst Alex Freberg where he talks about what steps he would take if he were to start over:

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