United States onlyPart‑time (≈20 hrs/week) • 3‑month project • Remote (US‑friendly hours)
Why This Role Matters
Legion Health’s data lives in half‑automated dashboards, ops spreadsheets, and ad‑platform exports. We need one technical owner to wire everything together, instrument every click and server outcome, and make growth metrics self‑serve for the entire team.
What You’ll Deliver
1 – End‑to‑End Analytics Stack
Fully implement PostHog and Google Analytics 4 for complete funnel and behavioral insights.
Instrument every product event with both client‑side “click” and server‑side “success” calls; build a structured tracking plan that documents event names, purpose, properties, and collection points.
Deploy Segment (or RudderStack) for clean, schema‑driven event collection and bi‑directional integrations with ads, email, and data warehouse.
Validate that our event‑driven architecture flows seamlessly from first click to patient conversion and downstream ops automations.
2 – Centralized Growth Metrics & Dashboards
Pipe data from PostHog, GA4, ops scorecards, billing, and provider‑availability feeds into one source of truth in PostHog (and later BigQuery).
Centralize and automate the KPIs that matter for an insurance‑based telehealth service:
Paid and organic CAC, plus CAC per retained patient
Step‑by‑step onboarding conversion (landing page start → eligibility complete → benefits verified → intake finished → first appointment booked and shown)
Real‑time provider availability and idle time
Time‑to‑intake and time‑to‑first visit
Patient retention, weekly LTV, churn, and net margin per visit
Claim‑denial rates and gross‑to‑net reimbursement
etc.
Automate dashboards, Slack/email digests, and threshold alerts (e.g., CAC spikes, idle‑provider alerts) for real‑time decision‑making.
Keep all metric definitions in a living data dictionary so finance, growth, and clinical ops speak the same language.
3 – Democratized Data Access
Stand up BigQuery (or Snowflake) as the warehouse of record; schedule Segment/PostHog exports.
Layer a BI tool such as Mode or Metabase for ad‑hoc SQL analysis.
Build a shared library of saved queries and dashboards for recurring metrics (e.g., funnel drop‑off by payer, LTV by lead source).
Run hands‑on workshops so ops, product, and marketing teammates can adapt basic SQL and pull their own insights without waiting on you.
4 – Reporting & Knowledge Transfer
Replace manual daily roll‑ups with self‑updating views accessible company‑wide.
Deliver concise weekly memos summarizing data quality, new instrumentation, and experiment read‑outs.
Document the full event taxonomy, data model, and dashboard logic; hand off maintenance playbooks to future data or growth hires.
You’ll Be Successful If You…
Ship a dual‑tracked PostHog + GA4 + Segment implementation in under four weeks.
Migrate every spreadsheet KPI to automated dashboards that the team actually opens.
De‑risk future growth by leaving a warehouse, BI layer, and documented tracking plan that others can extend.
Must‑Have Skills
Proven rollout of Segment/RudderStack, PostHog, GA4, BigQuery/Snowflake, and BI tools at an early‑stage startup.
Fluency in JavaScript/TypeScript tagging, server‑side events, and schema design.
Strong SQL; comfortable joining product, revenue, and ops tables for cohort and LTV analyses.
Past success turning messy ops data into self‑serve dashboards and alerting systems.
Clear communicator who can teach non‑technical teammates to fish.
Nice‑to‑Haves
Experience with HIPAA‑adjacent data stacks or telehealth analytics.
Familiarity with attribution modeling, A/B testing frameworks, or PostHog experiments API.
Engagement Details
Time: ~20 hrs/week for three months (extension or hire possible).
Compensation: Competitive hourly or project rate.
Resources: Budget for any tooling you recommend; direct access to engineering, growth, and ops leads.
