Data Analyst CV Template

Contact heading

Use a clear text heading with the contact details an employer needs. Do not include a photo, full street address, age, or protected characteristics unless local practice explicitly requires them.

Placeholder: Your Name · City, Country · your.email@example.com · +00 0000 000000 · linkedin.com/in/your-name

Professional profile

Write a short, role-specific introduction supported by the experience below. Replace every bracketed prompt with your own facts.

Placeholder: Data Analyst experienced in [domain] using [SQL, spreadsheet, BI, or statistical tools] to improve [decision, reporting, quality, or forecasting outcome].

Work experience

Use reverse chronology. Each bullet should make the action, context, and result easy to understand without copying claims that belong to someone else.

Placeholder: Job Title, Company Name — Built [dashboard or analysis] from [data source or scale], enabling [audience] to [decision or measurable improvement].

Skills

Group relevant capabilities in plain text and support the important ones in experience, projects, placements, or education.

Placeholder: Analysis: [methods] · Querying: [tools] · Visualisation: [tools] · Data quality: [validation or governance methods]

Analysis projects

Explain the question, data, method, validation, and conclusion. A link is optional; reasoning and result are essential.

Placeholder: [Project name] — Cleaned [dataset], applied [method], validated [how], and communicated [finding or decision].

Education and qualifications

List the qualification, institution, location where useful, and completion date or expected date. Include grades only when relevant or requested.

Placeholder: [Qualification], [Institution Name] — [Completion year or expected date]

How do I use this data analyst cv template?

Use the structure as a starting point, replace every placeholder and sample claim with your own evidence, then tailor the finished document to the actual job description.

Can I copy the example text?

Copy the pattern, not the facts. Invented employers, results, skills, or qualifications can damage an application and create problems in screening or interview stages.

Is this template ATS friendly?

The recommended structure uses conventional headings and text-first content. Final readability still depends on your export, font size, spacing, columns, tables, and the employer's system.

Should I tailor the template for each application?

Yes. Keep one accurate baseline, then adjust the profile, skills order, project selection, and emphasis of relevant bullets for serious applications.

Should the CV be one or two pages?

Use the shortest length that shows the required evidence clearly. One page can suit early-career applicants; two pages are common for experienced candidates, especially in the UK.

Does DoCV guarantee that this template passes ATS?

No. No independent template can guarantee an employer's screening result. DoCV helps with alignment and readability, but private configurations and hiring decisions vary.