§ Hiring intercept · RevOps analyst

Hiring a RevOps analyst.

RevOps analyst is the role that sits between sales leadership and the CRM admin. If the CRM admin owns “does the database work?”, RevOps owns “do the numbers mean something?” — forecast, stage definitions, territory, quota, variance analysis.

What RevOps owns

• Pipeline reporting — what’s in pipe, by stage, by rep, by segment, weighted for close probability
• Forecast — weekly call, variance against actual, confidence intervals
• Stage definitions — what exit criteria each stage requires, so “discovery” means the same thing to every rep
• Territory + quota — modeling, rebalancing, handling rep changes mid-quarter
• Postmortems — “what actually happened last quarter?” in numbers, not anecdote
• Sales-process hygiene — enforcing the fields and stages sales leadership agreed to track

Pay range

Indeed and Glassdoor aggregates: $72,000–$115,000, median around $92,000 for candidates with 2–4 years experience. SaaS with complex comp models pays at the top of the range. Pre-IPO SaaS often adds equity. Add 20–25% benefits load.

Signs your RevOps needs process help first

A new RevOps analyst walks into whatever process is in place. If the CRM data is garbage, RevOps spends their first six months cleaning data instead of modeling territory. Signs:

• Forecast accuracy consistently below 80% (variance > 20% on the call)
• Recurring disputes between sales and finance about “what’s in pipe”
• Stage definitions that mean different things to different reps
• Deals that sit in “negotiation” stage for 6+ months without activity
• Sales leadership doesn’t trust the dashboard

If three of those are true, fix the process before the hire. A weekly stage-audit and dedup process puts the RevOps hire into a seat where they can actually do strategy.

What changes with automation

Weekly audit reports auto-generate. Stale-deal lists land in the analyst’s inbox Monday morning. Missing-field errors get flagged at deal creation instead of at forecast time. The analyst spends more time on stage definition, territory modeling, and comp plan design — and less time reconciling the dashboard against the source data.

See also: CRM admin role, sales-ops coordinator role.