Role guides
Data analyst: build a sample-work portfolio
Create a public or invented dataset with a cleaning report to demonstrate relevant data analyst skills without inventing client experience.
By Instant Hire Global · · 2 min read
AI-assisted educational guide. Examples are illustrative and should be adapted to your real experience. About our guides
Your sample-work brief
Create a public or invented dataset with a cleaning report. Label it as an original practice project for data analyst work. Use invented or public information, and avoid names, private documents or records from an employer or client. A small well-explained sample is more useful than a large unexplained collection.
Define the deliverable
Include a clear objective, the steps you took and a short explanation of how the sample demonstrates data cleaning, interpretation, clear reporting. Add the assumptions you made so a reviewer can understand the boundaries of your work.
- Introduce a complication involving a dataset with missing and duplicate entries.
- Explain how you would define valid records, document changes and state limits on the conclusion.
- Record a check that would reveal an error or missing detail.
Show learning, not invented experience
Keep the original and revised version, then note what changed after feedback. Your portfolio should make your own contribution visible and distinguish practice work from professional delivery.
Before sharing, check that the link opens, the files are readable and the sample relates to the vacancy. For regulated or safety-sensitive work, keep the exercise non-operational and follow qualified supervision for real practice.
Further reading
Practical guidance, not a guarantee of employment. Check current vacancy instructions and applicable local requirements.