Portfolio websites for data analysts
Analyst work is hard to show, because the output is usually a dashboard nobody outside the company can open. A portfolio is where you describe the question, the method, and what changed as a result.
No account needed to try it. You only sign up when you publish.
What belongs on a portfolio for data and financial analysts
Start from the question, not the tool
"Built a churn model in Python" describes an afternoon. "Worked out which of two retention theories the data supported, and it was neither" describes an analyst. Lead with the question someone actually needed answered.
Say who acted on it
Analysis that changed nothing is a coursework exercise. Name the decision your work fed: a budget that moved, a campaign that stopped, a metric the team started tracking differently.
Use public data when your work is confidential
Most analyst output cannot be shown. A small, well-written analysis of a public dataset is a legitimate substitute, and it proves the same things: framing a question, choosing a method, and stating a conclusion you can defend.
One thing to avoid: Be careful about numbers you cannot publish. Describing the shape of a result ("a low single-digit percentage improvement") is honest and safe; inventing a specific figure to sound impressive is neither.
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