Data
Data Analyst CV Template UK
CV guidance for data analysts applying to UK roles across operations, product, commercial, and finance teams.
Next Step
Check your CV for this role before you apply
Use the ATS checker to compare your CV against a real data analyst job description, then rewrite weak sections in the AI CV builder.
What recruiters look for in a Data Analyst CV
- Technical confidence in SQL, dashboards, and reporting workflows
- Business relevance of analysis, not just tool usage
- Ability to communicate findings to non-technical stakeholders
- Examples of decision support or process improvement
Seniority levels this page covers
Tailor your summary, recent experience, and keyword coverage to the level you are applying for. Senior roles usually need stronger ownership, scope, and commercial impact language.
How to make this page useful before you apply
Mirror the right language
Do not rewrite everything at once. Start by checking whether your current CV already uses the same skill and keyword language as the role, especially around SQL, Excel, Power BI.
Prove the right kind of impact
The strongest data analyst CVs do not rely on broad claims. They show concrete evidence of technical confidence in sql, dashboards, and reporting workflows and business relevance of analysis, not just tool usage.
Match your level
This page covers junior through lead analyst applications. As the level rises, your wording should show more scope, ownership, and decision quality.
Key skills to include
ATS keywords recruiters expect
ATS score tips for this role
Pair each tool with a real business use case.
Translate analysis into impact like savings, growth, or reduced churn.
Use employer terminology for metrics and reporting environments.
Common questions about data analyst CVs
How should I tailor a data analyst CV for UK employers?
Start by matching the job description language where it reflects your real experience. For data analyst roles, employers usually look for evidence around technical confidence in sql, dashboards, and reporting workflows and business relevance of analysis, not just tool usage.
Which keywords matter most for a data analyst CV?
The strongest starting point is usually the job description itself, but recurring keywords for this role include data analyst, SQL, dashboarding. Use them where they accurately describe your work instead of forcing them into a generic summary.
What changes between junior and lead analyst applications?
Junior applications usually need clearer evidence of core execution and role fit. Lead Analyst applications normally need stronger ownership language, broader scope, and more visible commercial or organisational impact.