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SQL for this career

Data Analyst

Also listed as: Executive, Data · Reporting Analyst · Business Analyst

Four workplace milestones from an entry screening to owning a decision-ready analysis, with a diagnostic route for skills you already have.

How much SQL this role needs

Core, daily

You will write SQL most days — pulling numbers, answering ad-hoc questions, and building the query behind someone else's dashboard.

Milestone 1

Pass the screen

Build the smallest useful SQL and spreadsheet toolkit, then prove you can turn a plain request into a correct result.

0 / 17

Outcome

Write and explain a filtered, grouped, joined result without relying on copied syntax.

Capstone evidence

Return a small analysis with the correct grain, formula, and a result you can defend.

1 item here is Basic — see plans

Already do this at work? Pass the 3-item diagnostic to test out.

Jump to diagnostic

Milestone 2

Deliver trustworthy numbers

Handle the dirty-data traps behind first-month analyst work: NULLs, duplicates, joins, dates, lookups, and mismatched labels.

0 / 18

Outcome

Inspect unfamiliar data, state its grain, clean known quality issues, and reconcile the number before sharing it.

Capstone evidence

Clean a messy operational dataset and leave a reproducible audit trail from source rows to summary.

8 items here are Basic — see plans

Already do this at work? Pass the 3-item diagnostic to test out.

Jump to diagnostic

Milestone 3

Own the analysis

Move from answering a query to framing, checking, and communicating an analysis that another person can act on.

0 / 15

Outcome

Choose the right grain and method, use advanced SQL safely, and turn the result into a recommendation with caveats.

Capstone evidence

Complete an end-to-end take-home: query, validate, explain assumptions, and recommend an action.

6 items here are Basic — see plans

Already do this at work? Pass the 3-item diagnostic to test out.

Jump to diagnostic

Milestone 4

Influence the decision

Develop senior signals: reason about schemas and performance, challenge experiment readouts, and communicate what the evidence cannot prove.

0 / 15

Outcome

Review an analysis as a senior would: test the data model, performance, experiment design, and decision risk.

Capstone evidence

Diagnose a slow analytical workflow and deliver a recommendation that separates evidence, assumptions, and next checks.

8 items here are Basic — see plans

Already do this at work? Pass the 3-item diagnostic to test out.

Jump to diagnostic

What this site doesn't teach for Data Analyst

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