How to Land Your First Data Job

Most candidates fail at the same three steps. Fix them and you'll be ahead of 80% of the pile — before the interview even starts.

1. Build a portfolio of three projects

Not ten. Three. Each one should answer a real question (not 'predict Titanic survival'), use messy data you cleaned yourself, and ship with a short write-up explaining your decisions.

• Project 1: an exploratory analysis with a clear narrative.
• Project 2: a predictive model with proper evaluation.
• Project 3: an end-to-end mini-product (dashboard, API, or notebook tool).

2. Rewrite your resume in the STAR format

Every bullet point: Situation, Task, Action, Result. Numbers wherever possible. 'Built a churn model' → 'Built a churn model that reduced monthly churn by 1.8 points, recovering ~$120k ARR per quarter.'

3. Practice the interview, out loud

Data interviews have predictable structures: a SQL screen, a take-home, a stats/ML conceptual round, and a behavioral. Practice each one in a real time-boxed setting. Recording yourself is uncomfortable and effective.

Bonus: the cold-outreach script

Find five people who have the job you want. Send a two-sentence message asking for 15 minutes to learn about their path. The conversion rate is shockingly high — and one referral beats fifty cold applications.