Fintra Comp
Market pay data you can cite
A benchmark capture surface
Comp decisions get contested when the market number behind them is vague. Fintra captures each benchmark as a stored record (job title, location, currency, and p50/p75/p90) with the provider and a captured-at timestamp, so you always know where a number came from and how old it is.
| Field | Example |
|---|---|
| Job title | Senior Software Engineer |
| Location | Austin, TX |
| p50 / p75 / p90 | Median / 75th / 90th percentile |
| Provider | Named source |
| Captured at | Timestamp for freshness |
Provider interface
Where benchmarks get used
Benchmarks power
- Compensation band definitions and midpoints
- Offer positioning (at / below / above market)
- Merit-cycle context for managers
- Pay-equity analysis reference points
Inside Fintra
Captured benchmarks are the shared reference layer under bands, offers, and merit: one market source feeding every comp decision instead of scattered spreadsheets.
Questions people ask
How does Fintra store benchmarks?
As records per job title and location with p50/p75/p90 percentiles, currency, the provider name, and a captured-at timestamp, so each number is sourced and dated.
Where does the market data come from?
Through a provider interface: a deterministic mock provider for demos and a wired seam for a live provider like salary.com, which returns data when connected.
What are benchmarks used for?
Defining compensation bands, positioning offers against market, giving managers context in merit cycles, and anchoring pay-equity analysis.
How do I know a benchmark is current?
Each capture stores its timestamp, so you can see how fresh the underlying data is and refresh when it ages.
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Benchmarks you can point to
Capture dated, sourced market pay data for every comp decision.