Data Analyst Resume Example
Data analyst resumes need to show two things clearly: technical tool fluency and business impact delivered. This example shows how to structure both — so the hiring manager understands not just what you can do, but what you've actually changed.
Resume sample
James Park Data Analyst james@email.com · linkedin.com/in/jamespark · London, UK PROFILE Data analyst with 4 years turning raw business data into actionable insights. Built dashboards used daily by 3 C-suite executives. Identified £320K in cost savings through procurement analysis. Strong in SQL, Python, and Tableau. EXPERIENCE Data Analyst — RetailCo Group, London | 2021–present • Built executive dashboard in Tableau tracking £80M revenue portfolio, used by CEO daily • Identified £320K in annual cost savings through supplier pricing analysis • Automated 6 weekly reporting processes using Python, saving 12 hours/week • Collaborated with product and finance teams on customer lifetime value modelling Junior Data Analyst — ConsultFirm | 2020–2021 • Analysed customer churn for 3 client projects, providing recommendations adopted in 2 cases • Built SQL queries reducing ad-hoc reporting time from 3 hours to 20 minutes • Maintained and cleaned core CRM dataset (1.2M records) SKILLS SQL, Python (pandas, NumPy), Tableau, Power BI, Excel, dbt, BigQuery, Looker, A/B testing EDUCATION BSc Statistics · University of Bristol · 2020
How to write a data analyst resume
Show business impact, not just technical tasks
Data analyst resumes often focus too heavily on tools and not enough on what changed because of the analysis. "Built a Tableau dashboard" is a task. "Built executive dashboard that drove decision to cut £320K in supplier costs" is an impact. Lead with the outcome — then describe the tool used.
List tools and technologies by name
Most data analyst job postings name specific tools: SQL, Python, Tableau, Power BI, dbt, BigQuery. List these in a dedicated Skills or Technical section. ATS systems scan for exact tool names. Don't assume the reader will infer SQL from "database queries."
Show who used your work
Strong data analyst resumes name the stakeholder who acted on the analysis: "used by CEO daily", "adopted by finance team", "presented to board quarterly". This proves your work had real reach — not just internal reports that sat unread.
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Key tips
Frequently asked questions
Do I need a portfolio or GitHub for a data analyst role?
It helps, especially for junior roles. A GitHub with 2–3 clean notebooks showing real analysis is more valuable than listing "Python" with no context.
Should I include academic projects if I'm early-career?
Yes — especially if they show SQL, Python, or statistical methods applied to real datasets. Label them clearly as academic or personal projects.
How do I show progression from junior to senior analyst on one resume?
Show the difference in scope: junior roles list the tools and tasks, senior roles lead with business decisions that relied on your analysis. The progression should be visible in the impact of each role.
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