Data Analyst CV Template
Data Analysts transform raw data into actionable insights that drive business decisions. UK employers look for analysts who combine strong technical skills in SQL and Python with the ability to communicate findings clearly to non-technical stakeholders. A compelling CV showcases your analytical toolkit alongside real examples of how your insights influenced strategy.
How to write a Data Analyst CV
The best Data Analyst CVs open with a personal statement that highlights both your technical toolkit and your ability to drive decisions. State the tools you use daily — SQL, Python, Power BI, or Tableau — then immediately connect them to a business outcome: revenue uncovered, costs reduced, or processes automated. UK hiring managers want to see that you do not just pull data but actually influence what happens next.
In your experience section, frame every bullet around the insight and its consequence rather than the query you wrote. "Identified £340k in supplier overspend through spend-category analysis, leading to renegotiated contracts" tells a recruiter far more than "Ran SQL queries on procurement data." Where possible, state the data volume or complexity involved — millions of rows, real-time pipelines, or cross-departmental datasets — to convey the scale at which you operate.
A frequent mistake among data analysts is burying technical skills inside dense paragraphs. Create a dedicated skills section grouped by category: Languages (SQL, Python, R), Visualisation (Tableau, Power BI, Looker), and Databases (PostgreSQL, BigQuery, Snowflake). This helps ATS systems match your CV to the job specification and lets recruiters verify your toolkit at a glance.
If you hold certifications such as Google Data Analytics, Microsoft Power BI Data Analyst Associate, or any statistics-focused qualification, list them with dates. UK employers increasingly value these alongside or even in place of a traditional degree. Link to a portfolio or GitHub with two or three polished projects that show the full pipeline — from data cleaning through to visualisation and recommendation. Keep the CV to two pages and use plain formatting that any applicant tracking system can parse.
What recruiters look for in a Data Analyst CV
- Proficiency in SQL and at least one programming language (Python or R)
- Experience with BI tools like Tableau, Power BI, or Looker
- Examples of translating data into business recommendations with measurable outcomes
- Ability to communicate complex findings to non-technical audiences
- Familiarity with data governance, quality assurance, and GDPR compliance
- Evidence of proactive analysis — finding insights without being asked
Key skills for a Data Analyst CV
Example experience bullets for a Data Analyst
Use these as inspiration — always tailor bullets to your own experience and achievements.
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Tailor my CV nowFrequently asked questions
Do I need a degree to become a Data Analyst in the UK?
While many Data Analyst roles list a degree in a quantitative field, it's not always essential. Employers increasingly value practical skills and certifications (Google Data Analytics, Microsoft Power BI) alongside a portfolio of projects. Highlight relevant coursework, bootcamps, or self-taught skills prominently on your CV.
How should I present technical skills on a Data Analyst CV?
Create a dedicated 'Technical Skills' section near the top, grouping tools by category (e.g., Languages: SQL, Python; Visualisation: Tableau, Power BI; Databases: PostgreSQL, BigQuery). Then reinforce these skills in your experience bullets by showing how you used them to deliver results.
Should I include a portfolio link on my Data Analyst CV?
Absolutely. Link to a personal website or GitHub with 3-5 polished projects that demonstrate your analytical process — from data cleaning through to visualisation and insights. Kaggle competition entries also work well. Make sure each project has a clear business question and conclusion.