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Choosing Your First Data Project: Small, Boring and Finished

Analysts get hired for finished work. Here is how to pick a project you will actually complete.

Ray Underwood

Senior Analyst · Jul 27, 2026 · 5 min read

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Aspiring analysts often start with enormous ambitions: predict the stock market, model climate change, rebuild a recommendation engine. Most of those projects are abandoned in week two.

Pick a question you care about

Local data is wonderful for this: rickshaw fares, rainfall, exam results, cricket scorecards. Curiosity will carry you through the dull parts of cleaning.

Constrain the scope

  • 01One dataset, one question.
  • 02A deadline of two weekends.
  • 03A deliverable a stranger can read in five minutes.
  • 04A short note on what you would do with more time.
“A finished small project teaches more than an abandoned big one.”

Publish it

Put the notebook, the chart and a two-paragraph summary online. Hiring managers read these. They are looking for clear thinking and honest limitations far more than clever models.

Careers5 min read

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