Data Analyst CV Example (UK, 2026)
ATS-optimised · UK format · Ready to customise
Yusuf Ibrahim
Senior Data Analyst
Leeds, UK
Profile
Senior Data Analyst with 5 years translating complex datasets into commercial decisions across NHS and FinTech environments. Built a clinical dashboard suite now used by 400+ staff at Leeds Teaching Hospitals to monitor patient flow and staffing efficiency. Seeking a Lead Analyst or Analytics Engineer role in a data-mature organisation.
Work Experience
Senior Data Analyst
Leeds Teaching Hospitals NHS Trust
Jun 2020 – Present
- Designed and deployed 12 Power BI dashboards used by clinical and operational teams across 4 hospitals, reducing reporting preparation time from 8 hours to 45 minutes weekly.
- Built a predictive bed occupancy model in Python that improved ward scheduling accuracy by 19%, enabling the trust to redeploy 3 FTE from manual planning tasks.
Data Analyst
Funding Circle
Sep 2018 – May 2020
- Automated 6 recurring credit risk reports using Python and SQL, saving 12 analyst-hours per week and eliminating manual transcription errors.
- Built a churn propensity model that identified 2,400 at-risk borrowers 30 days earlier than the existing process, enabling the retention team to save £310k in loan book value.
Education
BSc Statistics and Data Science (First Class)
University of Sheffield
2015–2018
Key Skills
ATS Score: 93%
This CV passes the ATS filters used by most UK employers. Single-column layout, standard headings, keyword-optimised.
4 Tips for Data Analyst CVs
Always specify the tools and languages you have used — Python, SQL, Power BI, Tableau, dbt, Spark — and where possible, name the version or library context.
Quantify the impact of your analysis on the business: decisions made, costs saved, time saved, revenue influenced. Analysis for its own sake does not stand out.
If you have worked with both structured and unstructured data, or across multiple data stacks, make this explicit — it signals versatility.
Include any stakeholder management — "presented findings to C-suite" or "delivered weekly reporting to the Operations Director" elevates you above purely technical roles.
Data Analyst CV — Frequently Asked Questions
What is the difference between a data analyst and a data scientist on a CV?
Data analysts focus on querying, visualising and communicating structured data to drive decisions. Data scientists typically build and deploy predictive models. If you do both, position yourself by the role you are applying for and lead with the relevant skills.
Do I need a degree in statistics or computer science to be a data analyst?
Not necessarily. Many UK data analysts come from economics, psychology, biology or self-taught backgrounds. A strong portfolio of SQL, Python or Tableau projects can outweigh a non-technical degree.
Should I include my GitHub on a data analyst CV?
Yes, if it contains clean, documented projects. A GitHub profile showing an end-to-end data project (data cleaning → analysis → visualisation → insights) is a strong portfolio signal.
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