analytics
Data Analyst — AI labor economics
Translates business questions into SQL and visualizations. Owns dashboards, ad-hoc analyses, and the data definitions stakeholders cite in decisions.
What follows is the matrix-derived read for this role at a representative cell. Your numbers will differ — compute your own Wagecard for the precise read on your geo, experience, salary, and task mix.
Operational AI cost
Tokens · oversight · retries · integration · orchestration.
Market rate (Tier 2 mid)
p25 $71,463 · p75 $101,598 · p90 $120,540
Economic substitution exposure
Lower = more human-leveraged. Augmentation territory.
Distribution
Substitution distribution
By hours-weighted share across this role's tasks
Per-task read
The capability and human-advantage scores driving the role-level numbers.
| Task | Capability | Reliability | Error cost | Human-advantage |
|---|---|---|---|---|
| Write ad-hoc SQL queries | 85 | 75 | 2/5 | 30/100 |
| Build dashboards | 75 | 65 | 3/5 | 35/100 |
| Define metrics | 50 | 50 | 4/5 | 65/100 |
| Cohort and funnel analysis | 70 | 60 | 3/5 | 45/100 |
| Stakeholder readouts | 20 | 25 | 3/5 | 80/100 |
| Data quality investigations | 55 | 50 | 4/5 | 60/100 |
Computed against capability matrix v1 · model v1-mvp · representative cell (Tier 2 / mid). Refreshed when the matrix refreshes. Open methodology at /methodology.
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