Data Analyst CV example and ATS keywords
Data analyst roles are heavily screened for tools and technical skills. Your CV should name the tools you actually use, then show the business result of your analysis, not just the dashboards you built.
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Keywords employers screen data analyst CVs for
Most employers use applicant tracking systems (ATS) that look for the words in their job advert. Use the ones that are true for you, in your skills section and in your experience. Always check the advert itself too, because each employer words things slightly differently.
Skills
- SQL
- Excel
- Power BI
- Tableau
- Python
- Data cleaning
- Data visualisation
- Dashboards
- Reporting
- Statistics
- A/B testing
- Stakeholder management
- Data modelling
Qualifications and checks
- Degree in a numerate subject
- Microsoft Power BI Data Analyst (PL-300)
- Google Data Analytics Certificate
- Data analyst apprenticeship (Level 4)
Personal qualities
- Analytical
- Curious
- Detail-oriented
- Clear communicator
- Problem solver
Example data analyst personal statement
Your personal statement (or profile) sits at the top of your CV. Keep it to 3 or 4 sentences: who you are, your experience, your strongest skills and what you're looking for. Make it your own: these examples show the shape, not words to copy.
Analytical graduate in economics moving into data analysis, with hands-on SQL, Excel and Power BI from coursework and two portfolio projects analysing public NHS and retail data. Enjoys turning messy data into clear, useful insights for non-technical people.
Data analyst with 4 years in e-commerce, using SQL, Python and Power BI to build reporting used by 50+ colleagues. Led A/B testing analysis that lifted conversion by 6%. Translates data into clear recommendations for marketing and product teams.
Example experience bullet points
Start each bullet with an action verb and add a number wherever you can. Recruiters remember results, not duties.
- Built a Power BI sales dashboard used weekly by 50+ managers, replacing 10 manual Excel reports.
- Wrote SQL queries to segment 400k customers, informing a campaign that increased repeat orders by 8%.
- Analysed A/B tests on checkout changes, recommending the variant that lifted conversion by 6%.
- Automated data cleaning in Python, cutting monthly reporting time from 2 days to 3 hours.
- Presented monthly insights to the leadership team in plain English.
Mistakes that get data analyst CVs rejected
- Listing tools without showing results. Say what changed because of your analysis.
- Claiming every tool. Only list what you could use in a technical test.
- No portfolio for junior roles. Link a GitHub or portfolio with 1 to 3 projects.
How to lay out your data analyst CV
- Contact details: name, phone, email, town and (optionally) LinkedIn. No photo or date of birth needed in the UK.
- Personal statement: 3 or 4 sentences, like the examples above.
- Key skills: 6 to 10 skills from the keyword lists that are true for you.
- Experience: most recent job first, with 3 to 5 bullet points each.
- Education and training: qualifications, certificates and checks.
Use one column, standard headings and no tables, text boxes or graphics, so applicant tracking systems can read every word. Save it as a Word file unless the advert asks for a PDF.
Data Analyst CV questions
What skills does a data analyst CV need?
SQL and Excel almost always, plus Power BI or Tableau, and often Python. Then communication and stakeholder skills, shown through results.
How do I become a data analyst with no experience?
Build 2 or 3 portfolio projects with public data, take a course or certificate, and use analysis from your current job, even if it's in Excel.
Should I include a link to my GitHub?
Yes, if it has tidy, documented projects. Put it in your contact details at the top.
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