Data Analyst CV Example & Writing Guide (UK)

What to Include in Your Data Analyst CV

A data analyst CV is judged on tools and, more importantly, on the decisions your analysis drove. Open with a summary that names your stack and the value you create: "Data analyst with 4 years turning raw data into decisions — SQL, Python, and Power BI — including a churn model that helped reduce monthly attrition by 12% for a UK subscription business."

Follow UK convention — two pages, no photo or date of birth — and a clean single-column layout, since UK employers commonly screen through ATS such as Workday and Greenhouse. Put a technical skills block near the top, grouped (Querying & Databases: SQL, PostgreSQL; Visualisation: Power BI, Tableau, Looker; Languages: Python, R; Data: dbt, Excel, ETL) so both a reviewer and the parser can match you to the role.

Your experience is where you prove impact. For each role, give context (the business, the data, the stakeholders) and then results: a dashboard that changed how a team operates, an analysis that influenced a decision, an automation that saved hours, or a model that improved a metric. "Built a self-serve Power BI dashboard adopted by 5 teams, replacing a 2-day manual report" beats "created dashboards." Show that you can communicate findings to non-technical stakeholders — a defining skill that separates analysts who inform decisions from those who just produce charts.

Include projects (with a portfolio or GitHub link if you have one), education (degree and classification; data/stats/maths backgrounds help but are not essential), and certifications where relevant (Microsoft, Google Data Analytics, AWS). For career changers, foreground a strong project section demonstrating the full workflow — question, data, analysis, insight, recommendation.

Key Skills for a Data Analyst CV

• SQL — Confident querying, joins, aggregations, and window functions is the single most expected skill; make it prominent.

• Data Visualisation (Power BI / Tableau) — Building clear, self-serve dashboards that stakeholders actually use demonstrates real value.

• Python or R — Data wrangling, analysis, and automation with pandas or the tidyverse signals depth beyond spreadsheets.

• Data Modelling & ETL — Shaping, cleaning, and joining data from multiple sources reliably underpins trustworthy analysis.

• Statistical & Analytical Thinking — Framing the right question, choosing the right method, and interpreting results correctly is the core of the job.

• Stakeholder Communication — Translating analysis into clear recommendations for non-technical audiences is what gets analysts promoted.

CV Tips for UK Data Analyst Roles

1. Lead with impact, not tools. Tools get you past the filter; the decisions and outcomes your analysis drove win the interview.

2. Quantify everything. Metrics moved, time saved, teams served, and revenue or cost impact make your work credible.

3. Mirror the job spec's stack. If the role asks for SQL, Power BI, and Python, those words belong in your skills section and your bullets.

4. Show communication skills. Evidence of presenting findings and influencing decisions sets you apart from chart-producers.

5. Link a portfolio. A GitHub, Tableau Public, or project write-up gives the recruiter something concrete to verify.

Data Analyst CV Template

A clear, ATS-friendly data analyst CV is quick to build with CV Pro Maker. Our UK-ready templates give you a grouped skills block, a projects/links section, and an impact-led experience layout that parses cleanly through UK applicant tracking systems. Choose a template, add your stack and results, and download a polished two-page CV.