Data analyst resume template

The sections, in the order the template uses

• Header: name, Data Analyst or the exact title from the advert, location, phone, email and a link to a portfolio or GitHub profile if it has work you would show in an interview.
• Profile: two lines. What kind of data you work with and what you do with it. For example: Analyst working with sales and service data, building weekly reporting and checking data quality for operations teams.
• Technical skills: grouped by kind on two or three lines. Languages and querying (SQL, Python, R), tools (Excel, Power BI, Tableau, Looker), and methods (data validation, A/B testing, forecasting). List only what you could use on day one.
• Experience: most recent first. Each role should name the question, the data, what you built and who used it.
• Projects: one to three, with the data source, your approach and the result. Essential if you are moving into data from another job.
• Education, certifications and languages to finish.

Example bullet points for a data analyst

• Wrote SQL queries against the orders database to build a weekly margin report used by six regional managers.
• Replaced a manual spreadsheet check with a repeatable validation step, cutting the time spent on data checks by about a third.
• Built a Power BI dashboard tracking call volumes and wait times, which the service team now uses in its Monday meeting.
• Investigated a 12% drop in repeat purchases and traced it to a change in the discount email schedule.
• Cleaned and joined three years of survey data in Python and summarised the findings for a non technical audience.

Notice that every line names a user or a decision. Analysis that nobody acted on is hard to sell; analysis that changed a meeting, a process or a budget is the strongest thing you can put on the page.

Projects when you are changing career

If you are moving into analytics from teaching, retail, finance or the public sector, your projects section carries the application. Pick public data related to the industry you want, such as transport, health or housing statistics, and write each project up as a short case: the question, where the data came from, what you had to clean, what you found and what you would do next. Link the write up from your header. Then rewrite your previous jobs to bring out the analytical parts, like the stock report you built or the attendance figures you tracked.

How long, and what to leave out

One page for up to about five years of experience, two at most beyond that. Leave out:

• Skill bars and self ratings for each tool.
• Every library you have imported once. Name the ones you know well.
• Course certificates the advert does not care about. Keep the recognised ones.
• Screenshots of dashboards. Describe them and link to them.
• Client names or figures from confidential work. Describe the type of client and round the numbers.

Naming your tools

Use the names the advert uses. If it asks for Microsoft Power BI, write Power BI rather than BI dashboards, because recruiters and search filters look for the exact word. Group the list so it reads at a glance: querying and languages on one line, reporting and visualisation tools on the next, methods on a third. Mention versions or cloud platforms only when the job names them.

Data analyst resume or data analyst CV?

In the US it is a resume on US Letter, usually one page, and recruiters expect the tools near the top, which is what this layout does. In the UK the same document is a data analyst CV on A4, and a short profile above the skills is common. Switch the paper size above the preview; the section order works for both.

Questions about this template