A strong data analyst CV shows the tools you use, such as SQL, Excel, Python and Power BI or Tableau, and then proves what your analysis changed: money saved, hours freed, decisions made. This example has a short technical skills list near the top and bullets that name the tool, the action and the result. If you are new to data, put a projects section above your work history.
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Example data analyst CV
A fictional person, employers and figures, to show the format. Replace every detail with your own.
Priya Shah
Data Analyst · SQL, Power BI, Python · Leeds · priya.shah@example.com · 07700 900910
Personal statement
Data analyst with three years' experience in retail, using SQL, Power BI and Python to report on sales, stock and customer behaviour. Built the weekly trading dashboard used by regional managers and automated monthly reporting in Python. Comfortable presenting findings to senior leaders. Looking for a data analyst or junior BI role in e-commerce.
Experience
Data Analyst, Northgate Retail Group, Leeds (Jan 2024 - Present)
Built a Power BI sales dashboard used weekly by 40 managers, replacing six manual Excel reports and saving the team about ten hours a week.
Wrote SQL across five warehouse tables to flag customers at risk of leaving; the retention campaign that followed protected an estimated £120,000 a year.
Automated a monthly finance reconciliation in Python (pandas), cutting run time from two days to three hours.
Added SQL data quality checks to the weekly KPI pack, with no corrections needed in the next six months.
Junior Data Analyst, Northgate Retail Group, Leeds (Sep 2022 - Dec 2023)
Analysed 18 months of call centre data in Excel and Power Query, finding peak-hour staffing gaps; rota changes cut average waits from six to four minutes.
Cleaned and de-duplicated a 250,000-row CRM dataset, raising the email match rate from 72% to 91%.
Store Supervisor, Northgate Retail Group, Bradford (Jun 2019 - Aug 2022)
Built the store's stock and wastage tracker, which led to my move into the analytics team.
Projects
UK house prices dashboard, Personal project (2024)
Cleaned and joined HM Land Registry price paid data in Python and SQL, and built a Power BI dashboard comparing regions.
Education
BSc (Hons) Mathematics, 2:1, University of Bradford, 2016 - 2019
Training and certifications
Microsoft Certified: Power BI Data Analyst Associate (PL-300), Microsoft, 2024
Skills
SQL (joins, window functions, CTEs), Excel and Power Query, Power BI and DAX, Python (pandas), Data cleaning, A/B testing, Presenting insight
A data analyst personal statement to adapt
Data analyst with three years' experience in retail, using SQL, Power BI and Python to report on sales, stock and customer behaviour. Built the weekly trading dashboard used by regional managers and automated monthly reporting in Python. Comfortable presenting findings to senior leaders. Looking for a data analyst or junior BI role in e-commerce.
Key skills for a data analyst CV
SQL - A standard requirement. Say what you do with it: joins, aggregations, window functions, views.
Excel - Pivot tables, XLOOKUP and Power Query are still daily tools in many roles.
Visualisation - Power BI or Tableau, and what you built with it.
Python or R - Pandas, data cleaning and automation, often desirable for juniors and essential for seniors.
Business impact - Not "built dashboards" but what changed because people used them.
Communication - Explaining findings to people who do not work with data.
Data handling - Data quality and UK GDPR, especially with customer or patient data.
What a UK data analyst CV needs
A technical skills section - Grouped: languages, tools, methods. Keep it honest; interviewers will ask about each.
A projects section - Two or three projects with real UK data, a clear question and a link. Move it above experience if you are new to data.
Certifications - Such as the Microsoft Power BI Data Analyst certification, or a data apprenticeship or bootcamp.
Links - GitHub or a portfolio as plain text, with a short README for each project.
Domain knowledge - Retail, NHS, finance or logistics knowledge is a real asset in analysis.
Achievement bullets to adapt
The figures are invented to show the format. Use your own.
Built a Power BI dashboard used weekly by 40 managers, replacing six manual reports.
Wrote SQL to flag at-risk customers; the campaign that followed protected an estimated £120,000 a year.
Automated a monthly reconciliation in Python, cutting run time from two days to three hours.
Found staffing gaps in call centre data; rota changes cut average waits from six to four minutes.
Raised a CRM email match rate from 72% to 91% by cleaning 250,000 rows.
Trained 12 colleagues in Power BI basics so teams could run standard reports themselves.
Data Analyst CV questions
How do I write a data analyst CV with no experience?
Put a projects section above your work history, with two or three projects using real UK data and a link to the code. Then show any data work from your current job and add training such as a bootcamp or apprenticeship.
Which skills matter most on a data analyst CV?
SQL and Excel are standard, followed by Power BI or Tableau and, increasingly, Python. Communication matters too, so show you can explain findings.
Should I put my GitHub on my CV?
Yes, if it shows finished, readable work. Add it to your contact details and next to each project.
Do I need a degree to become a data analyst?
Not always. Many employers care more about skills and projects. Apprenticeships, bootcamps and self-taught portfolios are all common routes.