Data interviews do not have to feel messy. In this episode, I share a simple AI Interview Copilot that works for data analyst, data scientist, analytics engineer, product analyst, and marketing analyst roles.

What you will learn today:

• How to Turn a Job Post into a Skills Map: Know Exactly What to Study First.
• How to build role-specific SQL drills (joins, window functions, cohorts, retention, time series).
• How to practice product/case questions that end with a decision and a metric you can defend.
• How to prepare ML/experimentation basics (problem framing, features, success metrics, A/B test sanity checks).
• How to plan take-home assignments (scope, assumptions, readable notebook/report structure).
• How to create a 6-story STAR bank with real numbers and clear outcomes.
• How to follow a 7-day rhythm so you make steady progress without burnout.
• How to keep proof of progress so your confidence comes from evidence, not hope.

Copy-and-use prompts from the show:

• JD → Skills Map: “Parse this job post. Table: Skill/Theme | Where mentioned | My level (guess) | Study action | Likely interview questions. Then give 5 bullets: what they are really hiring for.”
• SQL Drill Factory (Analyst/Product/Marketing): “Create 20 SQL tasks + hint + how to check results using orders, users, events, campaigns. Emphasize joins, windows, conditional agg, cohorts, funnels, retention, time windows.”
• Case Coach (Data/Product): “Run a 15-minute case: key metric is down. Ask one question at a time. Score clarity, structure, metrics, trade-offs. End with gaps + practice list.”
• ML/Experimentation Basics (Data Science): “Create a 7-step outline for framing a modeling problem (goal, data, features, baseline, evaluation, risks, comms). Add an A/B test sanity checklist (power, SRM, population, metric guardrails).”
• Take-Home Planner: “Given this brief, propose scope, data assumptions, 3–5 analysis steps, visuals, and a short results section. Output a clear report outline.”
• Behavioral STAR Bank: “Draft 6 STAR stories (<120s) for conflict, ambiguity, failure, leadership without title, stakeholder influence, measurable impact. Put numbers in Results.”