Templates / Data Analyst

Data Analyst Resume Template (ATS-Safe, 2026)

What makes this template work

• SQL visible in Skills AND bullets (the #1 analyst search term)
• Method → decision → outcome bullet structure
• Portfolio/projects slot for career changers

The template (copy it straight from here)

Free to read and copy — the download above is just the convenient bundle.

============================================================
 CAREERRADAR TEMPLATE 05 - DATA ANALYST
 ATS-safe single column, optimized for analytics screens
============================================================
 HOW TO USE
 1. Replace [BRACKETED] fields; keep section titles as-is.
 2. Analyst recruiters keyword-search the stack: SQL, Python,
    Tableau, Power BI, dbt, Excel... List exact tool names
    from the posting. "SQL" appears in nearly every analyst
    search - make sure it's visible in Skills AND in bullets.
 3. Every bullet: what you analyzed, the method, and the
    decision or dollar/percent outcome it drove. Analysis
    without a decision is a hobby - show the business result.
 4. No tables/columns/icons. Verify the export at
    https://careerradar.io
============================================================


[FIRST NAME] [LAST NAME]
[City, State] | [Phone] | [email@example.com] | linkedin.com/in/[handle] | [portfolio or GitHub URL]

PROFESSIONAL SUMMARY
Data Analyst with [X]+ years turning [data domain, e.g., product,
marketing, operations, financial] data into decisions for
[company type/size]. Built [proof point, e.g., "the executive KPI
suite used weekly by 40+ stakeholders"] and delivered analyses that
[headline outcome, e.g., "recovered $900K in annual leakage"].
Strong in [2-3 matching specialties, e.g., SQL modeling,
experimentation analysis, dashboard automation].

SKILLS
Query & Programming: SQL ([e.g., PostgreSQL, BigQuery, Snowflake]),
Python ([e.g., pandas, NumPy, scikit-learn]), [R if applicable]
BI & Visualization: [e.g., Tableau, Power BI, Looker, Looker Studio]
Data Engineering: [e.g., dbt, Airflow basics, data modeling, ETL]
Methods: [e.g., A/B test analysis, cohort and funnel analysis,
forecasting, regression, statistical significance testing]
Business Tools: [e.g., Excel (advanced), Google Sheets, Jira]

WORK EXPERIENCE

[Job Title, e.g., Senior Data Analyst]
[Company Name] | [City, State or Remote] | [MM/YYYY] - Present
- Built [dashboard/reporting suite] in [tool] on [warehouse],
  replacing [N] manual reports and saving [X hours/week] across
  [teams].
- Analyzed [business problem, e.g., churn drivers] using [method,
  e.g., cohort analysis in SQL + logistic regression]; findings
  drove [decision] that improved [metric] by [X%].
- Designed and evaluated [N] A/B tests with [stakeholder team];
  prevented [bad launch / shipped winner] worth [$X or X%].
- Modeled [dataset] in [dbt/SQL], cutting query time [X%] and
  standardizing [N] core metrics company-wide.

[Job Title, e.g., Data Analyst]
[Company Name] | [City, State] | [MM/YYYY] - [MM/YYYY]
- Automated [recurring analysis] with [Python/SQL], reducing
  turnaround from [X days] to [Y hours].
- Identified [insight, e.g., pricing anomaly across 3 regions],
  recovering [$X] in [timeframe].
- Partnered with [function] to define [KPIs]; adopted as the
  standard for [scope, e.g., quarterly planning].

[Job Title, e.g., Junior Analyst / prior function]
[Company Name] | [City, State] | [MM/YYYY] - [MM/YYYY]
- [1-2 bullets. Career changers: highlight quantitative wins from
  the prior role - budgeting, reporting, process metrics.]

PROJECTS (optional - strongest for early-career or career changers)
[Project Name] | [GitHub/portfolio URL]
- [Dataset + question + method + finding, e.g., "Analyzed 2M NYC
  taxi trips in BigQuery; built a Tableau dashboard identifying
  22% demand under-service in two boroughs".]

EDUCATION
[Degree], [Field, e.g., Statistics, Economics, Computer Science]
[University Name] | [YYYY]

CERTIFICATIONS (optional)
[e.g., Google Data Analytics, Tableau Desktop Specialist,
dbt Fundamentals | YYYY]


============================================================
 ANALYST BULLET FORMULA (delete before sending)
 [Verb] + [data/problem] + [method + tool] + [decision it
 drove] + [quantified outcome]
 Weak:   "Created reports for management"
 Strong: "Built a churn early-warning model in SQL + Python
          flagging at-risk accounts 45 days out; CS outreach
          on flagged accounts cut logo churn 18%"
 Keep a private evidence log (query links, dashboard URLs)
 per bullet - technical screens ask you to walk through one.
============================================================

FAQ

How do I use this template?

Copy the plain text below into Word or Google Docs, set the font to Calibri or Arial 11pt, replace every bracketed field with your own content, delete the instructions block, and export as .docx or a text-based PDF.

Will this template pass ATS screening?

The layout rules it implements — single column, standard section titles, contact info in the body, month/year dates — are exactly what ATS parsers are built to read. Content still decides interviews: fill it with quantified, honest bullets.

Can I get all five templates at once?

Yes — the download button on this page gets you the full bundle (all five templates) in one zip.