Finance Data and Analytics Analyst
Metric design, SQL reconciliation and interpretation of models.
Role cheat sheet
- Data grain
Define what one row represents before joining or aggregating. Validate unique keys and avoid repeating invoices in one-to-many joins.
- Reconciliation
Compare totals by period and source against an agreed ledger. Investigate refunds, currency, missing rows and late events.
- Rate denominators
Use matching cohorts, events and observation windows. Weight aggregate rates by eligible population instead of averaging group percentages blindly.
Review the lesson- Regression slope
The slope estimates how the outcome changes with a unit change in the predictor, conditional on the model. It does not establish causality.
Review the lesson- Base rate
A flag can be accurate on known positives while most flagged cases are false positives when the underlying event is rare.
Review the lesson- Dashboard controls
Monitor freshness, missingness, duplicate keys, reconciliation differences and changed definitions. Identify who owns corrections.
Practise interview questions
How would you validate a SQL-built monthly revenue dashboard?
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