IT and analytics

Data analyst CV: example and template

This example is for data analysts working in sales, finance, marketing and logistics who prepare reports, dashboards and analyses for managers, and for people moving into analytics from other departments.

The employer wants to see your tools, the scale of the data and the decisions made thanks to your analyses. We show you how to write a CV that shows this.

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Example CV: data analyst

All the details in this example are fictional. Treat it as a model of layout and wording, and replace the content with your own experience.

Natalia Kowalewska

Business data analyst

Warsaw, hybrid work +48 123 456 789 natalia.kowalewska@example.com linkedin.com/in/nataliakowalewska

Professional profile

Data analyst with 4 years of experience at a retail chain. I build data models and dashboards in Power BI, write SQL queries and automate reports. My pricing and range analyses helped raise the margin in selected categories by 2 percentage points.

Work experience

Data analyst

01.2022 - present

Retail chain, 300 shops, Warsaw

Sales and margin dashboards in Power BI for 40 category and regional managers.
SQL queries on data warehouse data, over 200 million transaction rows.
Pricing and range analysis; margin in 5 categories up 2 percentage points.
Automating weekly reports, saving about 10 hours of work a week.
Presenting findings to the board and category managers.

Junior sales analyst

06.2020 - 12.2021

Cosmetics distributor, Warsaw

Sales reports in Excel for the sales department.
Checking data quality and cleaning up the customer database.
Analysing promotion effectiveness.

Education

Quantitative methods in economics, master's degree

2015 - 2020

SGH Warsaw School of Economics

Skills

SQL
Power BI and DAX
Advanced Excel, Power Query
Python: pandas
Data modelling
Presenting findings

Certificates

Microsoft Certified: Power BI Data Analyst Associate, 2023
Python for data analysis course, 2022

Languages

English: C1

Additional information

Portfolio of dashboards on public data, link in my profile

I hereby consent to the processing of my personal data for the purposes necessary to carry out the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (GDPR).

How to write a data analyst CV

Professional summary

Give your industry, tools and the type of analysis you do. Add one business result, such as a decision, a saving or a better result. An analyst who shows an impact on decisions stands out from people who just list tools.

Junior data analyst with an econometrics degree and a Power BI course. I prepare reports in Excel and Power BI and write basic SQL queries. My portfolio includes an analysis of public labour market data.

Experience: duties and achievements

Describe the data, tools, audience and result. Numbers such as data volume, the number of report users or time saved show the scale of your work.

Weaker: Creating reports.

Better: Sales and margin dashboards in Power BI for 40 category and regional managers.

Weaker: Analyses for the business.

Better: Pricing and range analysis; margin in 5 categories up 2 percentage points.

Weaker: Automation.

Better: Automating weekly reports, saving about 10 hours of work a week.

Skills worth listing

List the tools and methods you really work with. Under personal skills, show that you can turn numbers into clear conclusions.

Professional skills

SQL
Power BI or Tableau
Excel and Power Query
Python or R
Statistics
Data quality

Personal skills

Analytical thinking
Storytelling with data
Business understanding
Accuracy
Working with managers

Certificates and portfolio

Certificates in analytics tools help you pass the first screening. A portfolio is even better: 2 or 3 dashboards or analyses on public data, with a short description of the problem and the findings.

Data analyst CV with no experience

Describe projects from courses and university, analyses of public data and any job in which you prepared reports in Excel. Add a link to your portfolio.

When changing careers, show knowledge from your previous industry. An analyst who knows sales or logistics from the inside has an advantage.

Tailoring your CV to the job offer

A retailer looks for sales and pricing analysis, a bank for work with large databases and accuracy, and a tech company for Python and experiments. Order your tools as in the job ad to get through the ATS.

The most common mistakes on a data analyst CV

A list of tools without examples of analyses.
No business results.
Leaving out data volume and report audiences.
No portfolio for a junior.
Revealing confidential company data in a portfolio.
Charts and icons in the CV that make it hard for an ATS to read.

Questions and answers

What should a data analyst put on a CV?

The industry, tools, type of analysis, data volume, report audiences, business results, certificates, a portfolio and English.

Which tools should a data analyst know?

Usually SQL, Excel and one visualisation tool, such as Power BI. Python or R are a big plus.

How do I become a data analyst with no experience?

Take a course, prepare 2 or 3 analyses of public data and describe them in a portfolio. On your CV, also show knowledge from your previous industry.

How is a data analyst different from a data scientist?

An analyst more often describes and reports what is happening, while a data scientist builds predictive models. The roles often overlap.

Create a data analyst CV in the builder

In the CV Majster builder you enter your details step by step and see right away what the document looks like. You can copy the wording from this page and adapt it to yourself. The finished CV as a PDF costs a one-off PLN 5, with no subscription, and you see the preview before you pay.

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