Who this is for
Funded startups, 11 to 100 people, post-product-market-fit, without a data hire yet (or with one analyst who is drowning). You have product data, you have revenue data, and right now your dashboards are screenshots in Slack threads.
What I do
I parachute into the analytics function and own it end-to-end until the team is ready to hire someone to take it over.
- Revenue leak detection. Find the silent money holes — failed billing states, churn cohorts you didn’t know existed, plan-mix shifts you can’t see in the aggregate.
- Dashboards that survive. Operational and financial dashboards in a tool your team already uses, fed by a modeled warehouse — not raw production tables. Definitions documented, governed, reviewed.
- Anomaly alerting. Per-metric Slack-native alerts with sensible thresholds, quiet hours, and routing. So your team finds out about outages from monitors, not customers.
How an engagement looks
- Week 1: Audit. What you have, what’s wrong, what’s actually urgent.
- Weeks 2–4: Build the warehouse foundation and the first 5–10 metrics with defended definitions.
- Weeks 4–8: Dashboards and alerting on top. Documentation. Handoff plan.
- Open-ended: Embedded part-time until you hire your first analytics engineer; happy to interview candidates with you.
What I don’t do
- Pitch decks for boards. Plenty of consultancies do this better.
- One-off Tableau cleanup. I want to own the foundation, not paint over it.
- Long retainers with no ownership transfer. The engagement should make itself obsolete.