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.

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

SQL (advanced queries, CTEs, window functions)Python (pandas, NumPy, scikit-learn)Tableau or Power BIExcel (pivot tables, VLOOKUP, macros)Statistical analysis & hypothesis testingData cleaning & ETL processesA/B testing methodologyGoogle Analytics / Adobe AnalyticsData visualisation & storytellingStakeholder reporting & presentations

Example experience bullets for a Data Analyst

Use these as inspiration — always tailor bullets to your own experience and achievements.

Built automated Power BI dashboard tracking 15 KPIs across 4 departments, reducing monthly reporting time from 3 days to 2 hours.
Identified £340k in cost savings by analysing supplier pricing data across 200+ SKUs, leading to renegotiated contracts.
Designed A/B testing framework for the marketing team, improving email campaign conversion rates by 28% over 6 months.
Created customer segmentation model using K-means clustering, enabling personalised marketing that increased retention by 18%.
Automated daily data pipeline using Python and Airflow, eliminating 10 hours of manual data entry per week.

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Frequently 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.

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