Entry Level & Graduate
Data Analyst Resume Example (2026)
A strong Data Analyst (Entry) resume has to clear two gates: the Applicant Tracking System (ATS) that scans for the right keywords, and the recruiter who decides in seconds whether to keep reading. The Data Analyst (Entry) example below does both — it scores 89/100 on our ATS checker and reads like it was written by a hiring manager, not a template. It leads with the exact terms employers search for (data analysis, SQL, Excel, data visualization, Tableau, Power BI, Python) and backs every claim with a measurable result. Use it as a blueprint: copy the structure, then swap in your own numbers. Pay attention to how certifications and credentials are surfaced near the top — for a Data Analyst (Entry), that placement matters. Below the example you'll find the 20 keywords ATS systems expect for this role, achievement-style bullet points you can adapt, and a short writing guide.
This example's score on our real ATS checker — not a guess
Data Analyst Resume Sample
Rachel Green
Boston, MA • (555) 789-0123 • rachel.green.data@email.com • linkedin.com/in/rachelgreen
Professional Summary
Analytical Entry-Level Data Analyst with strong foundation in data analysis, SQL, and Excel. Skilled in data visualization using Tableau and Power BI. Proficient in Python and statistics for reporting and data cleaning. Strong analytical skills and problem-solving abilities. Excellent communication skills with relevant internship experience.
Work Experience
- Led team of [X] professionals achieving [%]% improvement in key metrics
- Managed cross-functional operations generating $[amount] in value
- Led data analysis initiatives for 5+ clients achieving 15% satisfaction
- Directed SQL and Tableau operations generating $1M+ annual value
- Implemented data analysis and data visualization systems achieving 15% efficiency improvement
Education
Skills
Data Analysis • SQL • Excel • Data Visualization • Tableau • Power BI • Python • Statistics • Reporting • Data Cleaning • Analytical Skills • Problem-Solving • Communication Skills • Internship Experience
Certifications & Licenses
- Google Data Analytics Professional Certificate — Google (December 2023)
20 ATS Keywords for a Data Analyst Resume
Applicant Tracking Systems rank your resume on keyword match. These are the terms recruiters and ATS filters look for in data analyst applications — use the ones that genuinely fit your experience, inside your bullet points, not just in a list.
Achievement Bullet Points You Can Adapt
Every bullet starts with an action verb and ends with a measurable result — the structure ATS parsers and recruiters both reward. Swap in your own numbers.
- Led team of [X] professionals achieving [%]% improvement in key metrics
- Managed cross-functional operations generating $[amount] in value
- Led data analysis initiatives for 5+ clients achieving 15% satisfaction
- Directed SQL and Tableau operations generating $1M+ annual value
- Implemented data analysis and data visualization systems achieving 15% efficiency improvement
- Utilized SQL for Tableau optimization reducing costs by $1M
- Delivered $[amount] in measurable results across [number] initiatives
- Increased performance by [%]% through process optimization
How to Write a Data Analyst Resume (5 Steps)
- 1
Lead with a keyword-rich professional summary
Open with 2-3 sentences that state your title, years of experience, and 2-3 signature strengths. Work in terms like data analysis, SQL, Excel so the ATS registers them immediately.
- 2
Make every experience bullet an achievement, not a duty
Start with an action verb and end with a number. "Led team of [X] professionals achieving [%]% improvement in key metrics…" beats "Responsible for…" every time.
- 3
Mirror the job description
Before you apply, paste the posting into the ResumeWalk builder. It surfaces the exact data analyst keywords that posting uses so you can match them honestly.
- 4
List role-relevant skills
Prioritize Data Analysis, SQL, Excel, Data Visualization, Tableau. Put the most job-critical ones first and demonstrate the top few inside your experience section.
- 5
Keep the format ATS-safe
Single column, standard headings (Summary, Experience, Education, Skills), no tables, columns, headshots or graphics. The example above follows all of these rules.
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Build my Data Analyst resume freeData Analyst Resume FAQ
What keywords should a Data Analyst (Entry) resume include?
Prioritize the terms ATS systems and recruiters actually search for in this field: data analysis, SQL, Excel, data visualization, Tableau, Power BI, Python, statistics. Weave them naturally into your summary and bullet points rather than listing them in isolation — ATS parsers reward keywords that appear in context, and recruiters distrust keyword stuffing.
How long should a Data Analyst (Entry) resume be?
One page if you have under ~10 years of experience, two pages for senior or highly technical profiles. The Data Analyst (Entry) example here keeps every bullet to one or two lines and leads with quantified results, which lets you say more in less space.
What skills do employers look for in a Data Analyst (Entry)?
The most in-demand skills for this role include Data Analysis, SQL, Excel, Data Visualization, Tableau, Power BI. List the ones you genuinely have, ordered by relevance to the specific job you're applying for, and demonstrate the most important ones inside your experience bullets instead of only naming them.
Is this Data Analyst (Entry) resume example ATS-friendly?
Yes. It scores 89/100 on our ATS checker: single-column layout, standard section headings, no tables or graphics, parseable dates, and role-specific keywords used in context. You can build the same structure for free with the ResumeWalk builder.