Data Analyst CV Sample — Free Word & PDF Template

A data analyst CV is read for three things: the tools you use, the problems you solved, and whether your numbers changed a decision. This sample is written for an analyst with three years in retail analytics.

It leads with SQL and Power BI, then gives each role a time saving or a decision it supported. Replace the metrics with your own, and be ready to explain how you calculated them.

What a Data Analyst CV should show

• SQL as a named skill, with the kind of work: joins, window functions, or cleaning.
• A BI tool and the kind of dashboard you built, not just the logo.
• A business outcome: time saved, report automated, cost or stock issue found.
• Metric definitions and data documentation, which separate analysts from chart makers.
• Statistical judgement: sample size, confidence, or why a difference is not meaningful.
• One example of presenting findings to a non-technical audience.

Skills and keywords to include

Use the words employers search for, but only where they are true. The list below matches the sample; delete anything you cannot demonstrate in an interview or a skills test.

• SQL — joins, aggregations, CTEs, and window functions.
• Power BI — data model, DAX basics, and dashboard layout.
• Excel — PivotTables, lookups, and quick validation.
• Python or R — pandas for cleaning and repeatable analysis.
• Data cleaning — duplicates, missing values, and type consistency.
• Dashboard design — one question per page and clear labels.
• Statistics — averages, distributions, and when a difference matters.

How to use this Data Analyst CV sample

1. Download the Word sample and replace the analyst's name, tools, and companies.
2. Put the tool stack and one outcome in the profile. Hiring managers scan for SQL and a BI tool first.
3. For each role, write one line on the data, one on the build, and one on the decision or time saved.
4. Add a portfolio link only if it is public and the dashboards are yours. A screenshot without a method invites questions you may not want.

Common mistakes to avoid

• Listing Python, R, and five BI tools without evidence for any of them.
• Describing dashboards as interactive reports with no question they answered.
• Leaving out the data source or volume, which makes the result impossible to judge.
• Presenting correlation as causation in a CV bullet.
• Using a photo-heavy template for a technical application.

CV format notes for Data Analyst jobs

Length: one page for up to five years, two pages for senior analysts or a substantial public portfolio.

Tone: method and outcome. Name the data, the transformation, and the decision your work supported.

Order: profile, experience, skills, education. Put SQL and the BI tool in the first two lines.

File: send a PDF named Firstname-Lastname-Data-Analyst.pdf; link the portfolio rather than attaching large dashboards.

Why this Data Analyst CV sample works

• The profile names SQL, the BI tool, and the kind of decision the work supported.
• The dashboard rebuild is measured in time saved, which a manager can verify.
• Metric definitions are shown as work, not as a buzzword.
• The second role shows automation rather than another dashboard.
• The two-column layout keeps the tool stack visible beside the experience.

A note on the sample: the person, employers, and results are fictional and exist to show the structure. Replace every detail with your own before sending the CV. We do not publish invented salary data, hiring statistics, or success rates.

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