Data Analyst Resume Example

This page is for data analysts at any level. Analyst resumes are screened for SQL depth, dashboard and reporting ownership, and the decisions your analysis supported. The most common weakness is listing reports produced; the strongest resumes list questions answered and what changed because of the answer.

Example data analyst resume

ALEX MORGAN
Email: alex.morgan@example.com | Phone: +1 555 010 0091 | Chicago, IL | linkedin.com/in/alexmorgan

PROFESSIONAL SUMMARY
Data analyst with 3 years supporting a 20-person commercial team. Built the revenue dashboard used in weekly leadership meetings and identified a pricing error that recovered $180k in annual recurring revenue.

PROFESSIONAL EXPERIENCE
Data Analyst | Great Lakes Retail Group | 2022 - Present
- Built and maintained the revenue dashboard used in weekly leadership meetings, replacing 6 manual spreadsheets and saving 15 analyst hours weekly.
- Investigated a 3% regional revenue drop and traced it to a misconfigured discount rule, recovering $180k in annual recurring revenue.
- Wrote 60+ dbt tests on revenue-critical models, catching 4 pipeline bugs before executive reporting.

Junior Data Analyst | Midwest Logistics | 2020 - 2022
- Automated carrier invoice reconciliation in SQL and Python, flagging $95k in duplicate charges in year one.
- Delivered cohort retention analysis that reshaped the loyalty program, lifting 90-day repeat purchase rate 8%.

SKILLS
SQL, Python, Excel, Tableau, Power BI, dbt, Looker, cohort analysis, funnel analysis

EDUCATION
B.B.A. Information Systems, University of Illinois, 2020

Professional summary example

"Data analyst with 3 years supporting a 20-person commercial team. Built the revenue dashboard used in every weekly leadership meeting and identified a pricing error that recovered $180k in annual recurring revenue."

Why it works: Two concrete artifacts with consequences: a dashboard leadership depends on and an analysis with direct revenue recovery. No fluff, no tool lists.

Skills to include

Core

SQL, Excel (advanced), Python, Statistics

Visualization

Tableau, Power BI, Looker, dbt

Practices

KPI definition, Cohort analysis, Funnel analysis, A/B test support

Stakeholders

Executive reporting, Requirement gathering, Data storytelling

Experience bullet examples

The pattern to copy: strong verb, specific action, measurable result. Compare each weak version with its rebuild:

Example 1

Bad: Created reports and dashboards for stakeholders.

Good: Built and maintained the revenue dashboard used in weekly leadership meetings, replacing 6 manual spreadsheets and saving 15 hours of analyst time weekly.

Why: It names the audience, the thing replaced, and the time saved. 'Created dashboards' says nothing about adoption or value.

Example 2

Bad: Analyzed sales data to find insights.

Good: Investigated a 3% regional revenue drop and traced it to a misconfigured discount rule, recovering $180k in annual recurring revenue.

Why: A specific question, a root cause, and money recovered. This is the difference between analysis and reporting.

Example 3

Bad: Responsible for data quality checks.

Good: Wrote 60+ dbt tests covering revenue-critical models, catching 4 pipeline bugs before they reached executive reporting in the first quarter.

Why: It shows proactive engineering practice and the incidents prevented, which is what analytics managers actually need.

Common data analyst resume mistakes

Listing every chart ever made instead of the decisions they enabled
No SQL evidence: query complexity, data volume, or optimization
Tool lists (Excel, Tableau) with no business context attached
Ignoring data quality work, which is a major real-world analyst responsibility
Vocabulary mismatch with the posting (e.g., saying 'reports' when the role says 'analytics')

ATS keywords for data analyst roles

Include the terms the job posting uses, and make sure each one is backed by evidence in a bullet. Common keywords for this role:

data analystSQLTableauPower BIExceldata visualizationreportingKPIdashboardcohort analysisETLstakeholder management

Formatting tips

Lead each bullet with the business question or artifact, then the tool, then the result
Quantify data scale (rows, sources, refresh cadence) to show real-world complexity
Include one 'caught a problem' story; analysts are hired to protect decision quality
Match the posting's exact tool names (Power BI vs Tableau) in your skills line

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Frequently asked questions

What skills belong on a data analyst resume?

SQL first, then the visualization tool in the job posting (Tableau or Power BI), spreadsheet skills, a scripting language (Python or R), and analysis methods like cohort, funnel, and A/B test support.

How do I show impact as a data analyst?

Tie analyses to decisions: revenue recovered, costs cut, programs changed, hours saved. If you only produced reports, describe their audience, cadence, and the manual work they replaced.

Should I include Excel on a modern analyst resume?

Yes when the posting mentions it or the industry is finance, retail, or operations. Say what you did in it (modeling, reconciliation, Power Query) rather than listing it bare.

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