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Junior Analyst · Data Reliability Leadership

Ship Clean Analysis: Data Contracts for Junior Analysts

Stop vague data requests. Use contracts to ship analysis that gets approved fast.

Who This Helps

You're a Junior Analyst who just finished a deep dive. You have numbers, charts, and a gut feeling. But when you present, stakeholders ask "where did this come from?" and the meeting goes sideways. This is for you.

In the Data Reliability Leadership program, one mission is "Data Contracts" — a simple way to lock in definitions before you crunch numbers. No more "oh, that metric changed last week."

Mini Case

Mei, a Junior Analyst at a mid-size e-commerce company, was asked to report on customer churn. She spent 3 days pulling data, only to learn the sales team defined "churn" differently. Her first report was rejected. After defining a data contract with the team — agreeing on churn = no purchase in 90 days — her next report was approved in 2 hours. That's a 12% time savings on rework alone.

Do This Now (5 Steps)

  1. Pick one key metric your team uses often — like monthly active users or revenue per customer.
  2. Write down the exact definition in one sentence. Example: "Monthly active user = unique user with at least one login in the last 30 days."
  3. Share it with two stakeholders — your manager and one business partner. Ask: "Does this match what you expect?"
  4. Update the definition based on their feedback. Keep it short.
  5. Save it in a shared doc your team can reference. That's your first data contract.

Avoid These Traps

  • Skipping the conversation. Don't assume everyone agrees. Ask.
  • Making it too complex. A contract is one sentence, not a novel.
  • Forgetting to update. When the business changes, your contract should too.
  • Hiding it in a folder. Put it where people actually look.
  • Using jargon. "Unique identifier" is fine. "Customer 360 holistic view" is not.

Your Win by Friday

By end of week, you'll have one agreed-upon metric definition. Your next analysis will start with clarity, not confusion. Stakeholders will trust your numbers. And you'll spend less time redoing work — more time finding insights that matter. That's a clean ship and a happy team. Plus, you'll look like the analyst who actually gets things done. (And maybe grab coffee without checking Slack every 5 minutes.)