PostHog + Segment Product Analytics and Data Consultant (backed by Y Combinator, $1M+ ARR, $6.3[...]

Legion Health; Austin (TX); Remote; USD 52,000 - 78,000; Part time

Job summary

Legion Health is seeking a part-time Product Analytics and Data Consultant to enhance their data integration and reporting capabilities. This remote role focuses on centralizing growth metrics, automating KPI reporting, and enabling self-service analytics for the team. The ideal candidate will have experience with data platforms and a strong understanding of healthcare metrics.

Qualifications

• Experience piping data from multiple sources into analytics platforms.
• Ability to automate and centralize healthcare metrics.

Responsibilities

• Consolidate data into a single source of truth using PostHog/Segment.
• Automate KPI collection and reporting.
• Set up data warehouses for ad-hoc analysis.

Skills

Data Integration

KPI Automation

Dashboard Building

Tools

GA4

PostHog

BigQuery

Snowflake

Job description

PostHog + Segment Product Analytics and Data Consultant (backed by Y Combinator, $1M+ ARR, $6.3M+ raised)

Join to apply for the PostHog + Segment Product Analytics and Data Consultant role at Legion Health.

This is a part-time (≈20 hrs/week) and remote position, initially a 3-month project.

About Legion Health

Legion Health aims to deliver the best psychiatric care globally, leveraging AI to automate operations and improve patient experiences. We are building a full-stack AI-native psychiatry network, providing high-quality care and automating scheduling, billing, and risk analysis.

Role Importance

We need a data expert to integrate our scattered data sources, instrument all user interactions, and make growth metrics accessible and actionable for the team.

Key Responsibilities

1. Centralized Growth Metrics & Dashboards: Consolidate data from GA4, scorecards, billing, EMR, and provider feeds into a single source of truth using PostHog/Segment. Automate KPI collection and reporting, including CAC, onboarding conversions, provider availability, patient retention, and reimbursement metrics. Set up real-time alerts and maintain a data dictionary.
2. End-to-End Analytics Stack (Future): Implement comprehensive tracking with PostHog, Segment, and GA4. Instrument product events and validate data flow from click to conversion.
3. Democratized Data Access (Future): Set up data warehouses like BigQuery or Snowflake, enable ad-hoc analysis with BI tools, and conduct workshops for team self-service.
4. Reporting & Knowledge Transfer: Replace manual reporting with automated views, deliver weekly summaries, and document data models and dashboards for future maintenance.

Success Indicators

• Automate and centralize KPI reporting.
• Reduce reporting lag to minutes.
• Detect anomalies proactively with alerts.
• Standardize metric definitions across teams.
• Reduce manual data work significantly.

Must-Have Skills

• Experience piping data from GA4, scorecards, billing, EMR, and provider feeds into analytics platforms.
• Ability to define, automate, and centralize key healthcare metrics.
• Building dashboards, setting up alerts, and maintaining data dictionaries.

Nice-to-Have Skills

• Experience with Segment, RudderStack, or similar tools.
• Knowledge of BigQuery, Snowflake, and BI tools like Mode or Metabase.
• Advanced SQL skills for analytics.
• Experience with JS/TS event tagging and schema design.
• Ability to teach non-technical teammates.
• Familiarity with healthcare data compliance and attribution modeling.

Engagement Details

• Approx. 20 hours/week for 3 months.
• Competitive hourly or project rate, with resource support.