Salary is split by company size rather than one flat range, which makes comparison easier. Local ranges are welcome.
Data Analyst
Answer what actually happened, with data
Data analysts turn events and transactions into decisions: metric definitions, reports, anomaly diagnosis and experiment evaluation.
Core responsibilities 01 / DUTY
- Own metric definitions and dashboards
- Extract, clean and validate data
- Diagnose anomalies with funnels and cohorts
Required skills 02 / SKILL
Who this suits 06 / FIT
- Careful about definitions
- Can explain numbers to non-technical peers
FAQ 07 / FAQ
Analyst vs algorithm engineer?
Analysts explain and advise; algorithm engineers turn patterns into automated services.
Related industries & roles 08 / LINK
This role commonly appears in these industries and works with these roles:
Before you start · insider notes
Two teams counting DAU differently will argue forever; settle the definition before analysis.
Coupon users may simply be the already-active ones. Without a control group, wait.
Company size × salary
Illustrative ranges · not official statistics · community-editableThe same role pays differently — and asks for different things — at different company sizes. Editorial reference ranges; corrections welcome.
| Company size | Monthly salary | What matters |
|---|---|---|
| Startup / <50 | 10–20K | Build tracking & reports from zero |
| Growth / 50–500 | 15–30K | Deep dives & experiment design |
| Large / 500–5k | 22–40K | Metric systems & definitions |
| Platform / >5k | 28–50K | Strategy evaluation & decision support |
Abilities required
Five dimensions, level 1–5
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Data Analyst · DAU Down 10%
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Discussion
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The interview questions are useful; a note on explaining your reasoning during live coding would help.
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