CV example
Data analyst CV example
By the JobberNest team · Reviewed 3 November 2026
Data analyst roles attract many career changers from bootcamps and online courses. That's fine, but it means a certificate alone no longer stands out. What does: a question you answered with data, the tools you used, and the decision someone made because of it.
If you don't have analyst experience yet, use projects with real or public data (for example, from the National Bureau of Statistics or the World Bank) and describe them like jobs.
Data analyst CV sample
Kelechi Eze
Data Analyst (SQL, Power BI, Python)
Abuja · kelechi.eze@example.com · portfolio: example.com
Profile
Data analyst with two years in retail and a background in economics. I build the weekly sales dashboards our managers run the business on, write SQL against a 40-million-row sales table, and found the stock-out pattern that led to a new reorder rule.
Experience
Data Analyst · A supermarket chain, Abuja
Mar 2024 – present
- Built Power BI dashboards for sales, stock and margin used weekly by 18 store managers.
- Found that stock-outs on 40 fast-moving lines peaked on Mondays; the new reorder rule cut those stock-outs by about a quarter.
- Replaced a 3-hour manual Excel report with a scheduled SQL query and Power BI refresh.
Operations Assistant · Same company
Oct 2022 – Feb 2024
- Kept daily sales and stock reports in Excel for six stores.
- Taught myself SQL and Power BI and moved into the analyst role internally.
Education
B.Sc. Economics · Nnamdi Azikiwe University
2015 – 2019
Google Data Analytics Certificate · Coursera
2023
Skills
SQL (PostgreSQL, SQL Server) · Power BI · Excel (Power Query, pivot tables) · Python (pandas) · Data cleaning · Dashboard design · A/B test basics · Presenting findings
What recruiters look for
- Tools named exactly: SQL, Excel, Power BI or Tableau, Python or R.
- A finding that led to a decision, not just a dashboard you built.
- Data size and sources: how many rows, which systems.
- A portfolio link with two or three good projects.
- Clear explanations: analysts present to people who don't read SQL.
Profile examples
Economics graduate moving into data analysis, with a Google Data Analytics certificate and three portfolio projects using SQL and Power BI on public Nigerian data, including an analysis of food price inflation by state.
Data analyst in retail: weekly dashboards for 18 managers and SQL on 40 million rows. My stock-out analysis led to a new reorder rule.
Senior analyst leading reporting for a fintech with 2 million users. I own the metrics layer, run experiments with product teams and mentor two analysts.
Achievement bullets you can adapt
Change the numbers and details to match what you actually did. If you don't have a number, describe the result plainly.
- Built Power BI dashboards used weekly by 18 store managers.
- Found a Monday stock-out pattern; the new reorder rule cut stock-outs by about a quarter.
- Automated a 3-hour weekly Excel report with SQL and a scheduled refresh.
- Cleaned and merged three years of sales data from two systems.
- Presented monthly findings to the leadership team.
Skills to include
Analysis
- SQL
- Excel
- Python (pandas)
- R
- Statistics basics
- A/B testing
Visualisation
- Power BI
- Tableau
- Looker Studio
Personal
- Asking the right question
- Explaining results simply
- Attention to detail
Tips for a stronger data analyst CV
- 1
Lead with a finding
"Built dashboards" is common. "Found the pattern behind Monday stock-outs" gets an interview.
- 2
Make the portfolio easy
For each project: the question, the data, one chart and the answer, all readable in two minutes.
- 3
Don't list ten certificates
One or two relevant certificates are plenty. Projects and experience matter more.
Questions people ask
Can I get a data analyst job without experience?
Yes, through internships, internal moves and junior roles, but you need projects that show you can work with messy data and explain what you found.
Should I learn Python or Power BI first?
For most analyst jobs in Nigeria, SQL and Excel come first, then Power BI. Python helps for more technical roles.