Data Analyst Resume Example

Data analysts collect, process, and analyze data to provide actionable business insights. They create dashboards, generate reports, and support data-driven decision-making across teams.

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How to use this guide

This is an educational example from mynext9to5, not a real candidate’s CV or an employer’s requirements. Use the actual vacancy to decide what matters. Include only skills, qualifications and outcomes you can support. An ATS check is a diagnostic aid, not a prediction of an interview.

Explore the CV. Make the approach your own.

Select an experience bullet to see its action, method and evidence. These fictional claims must never be copied as your own.

Layout Use this layout

Only the layout carries over. Your existing draft stays intact; fictional details are never imported. Examples illustrate the structure of the available editor layouts.

Alex Morgan

Data Analyst

alex@example.com · Fictional candidate

Summary

Data analyst translating operational questions into reproducible SQL analysis and clear dashboards. Works with stakeholders to define metrics and investigate data quality.

Experience

Data Analyst · Clearview Operations (fictional)

2023 – 2026

Selected project

Retention analysis: compared customer cohorts and documented limitations caused by incomplete historical records.

Skills

SQL · Power BI · Excel · Data quality · Cohort analysis

Education

BSc Statistics · Example University · 2022

Illustrative content only. All employers and qualifications are fictional.

Why bullet 1 works

Action: Reconciled
Method: SQL reconciliation with documented cancellation rules.
Evidence: Definitions and reconciliation queries make the reported revenue auditable.

Metric definitions and limitations make the analysis credible; dashboard ownership is tied to a real decision-making workflow.

Same facts. Clearer wording.

Before

Worked with order and refund records in SQL. Reconciled them and documented how cancellations affect reported revenue.

After

Reconciled order and refund records in SQL, documenting how cancellations affect reported revenue.

The revision brings the deliverable and method together, replaces vague framing with a specific action, and keeps the same facts. No new metrics, skills or achievements are added.

Review your own CV

I can support every claim.My own contribution is clear.Relevant evidence comes first.

Optional customer test

Try software engineer, full-stack developer or data analyst. Find an example, explain one lesson to your facilitator, upload your own CV and review a suggestion. Timing and task milestones stay in this browser tab. No CV content or file names are recorded or transmitted.

Key Skills for a Data Analyst

Technical Skills

SQLExcelPythonTableauPower BI

Soft Skills

Analytical ThinkingCommunicationAttention to DetailProblem SolvingCuriosity

Top ATS Keywords

data analysisdata visualizationbusiness intelligencereportingstatistical analysissql queryingdashboard creationdata qualityinsight generationdatabase management

Resume Tips for Data Analyst

1

Highlight data-driven insights that influenced business decisions

2

Include experience with BI tools and data visualization

3

Show proficiency in SQL and analytical programming languages

Resume Template

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Upload your CV, add a target job and review suggested changes. Keep only wording that accurately reflects your experience.

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Related Resources

ATS Keywords for Data Analyst

Explore relevant terms for Data Analyst resumes and compare them with the actual vacancy.

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Frequently Asked Questions

What should a Data Analyst resume include?

A strong Data Analyst resume should include a compelling summary highlighting your data analysis, sql, excel, python experience, a detailed work history with quantified achievements, and a dedicated skills section featuring your SQL, Excel, Python proficiencies. Use action verbs and metrics to demonstrate your impact in previous Data Analyst roles.

How long should a Data Analyst resume be?

Use the length needed to show relevant evidence clearly. One page can suit an early-career applicant; two may suit a longer relevant work history. Follow the employer’s instructions and remove repetition before shrinking the text.

What are the most important skills for a Data Analyst?

The key skills include SQL, Excel, Python, Tableau, Power BI among technical abilities, and Analytical Thinking, Communication, Attention to Detail, Problem Solving, Curiosity as soft skills. Employers also look for candidates who demonstrate proficiency in data analysis, data visualization, business intelligence, reporting, statistical analysis. Tailor your skills section to match the specific requirements listed in each job posting.

How do I make my Data Analyst resume ATS-friendly?

Use standard headings and a clear reading order. Include relevant terms such as data analysis, data visualization, business intelligence, reporting, statistical analysis, sql querying only when they describe your experience. Follow the requested file format and check extracted text. No template or keyword list guarantees screening success.