Senior Data Analyst: Clinician Lifecycle Analytics + Equity

Midi Health; San Francisco (CA); Hybrid; USD 150,000 - 175,000; Full time

Job summary

Midi Health in the San Francisco Bay Area is seeking a Senior Data Analyst to design, build, and own the end-to-end analytics framework for our clinician workforce. You will manage data from recruiting through licensing to performance and patient outcomes, partnering with Clinical Leadership.

Role requires strong SQL, Python, and BI skills, with experience in NLP/text analytics and modern data warehouses. Hybrid work with on-site days in Palo Alto or SF.

Qualifications

• Advanced SQL & data modeling across relational databases and EHR systems.
• Python for statistical analysis, cohort modeling, and NLP/text processing.
• Experience with BI dashboards (Looker, Tableau, PowerBI).
• Text analytics or NLP awareness for transcripts and notes.
• Experience with modern cloud data warehouses and AI tooling.

Responsibilities

• Analyze clinician recruiting, onboarding, and licensing funnel to optimize conversions.
• Build predictive frameworks to reduce licensing bottlenecks and time-to-first-consultation.
• Develop retention and attrition models for clinicians.
• Design operational scorecards for SLA tracking, inbox turnaround, chart completion, and panel utilization.
• Create transcript-based empathy analytics and scoring frameworks.
• Partner with Clinical Quality to incorporate safety metrics into scorecards.
• Analyze clinician impact on patient retention, NPS, and treatment adherence.
• Deliver executive dashboards and guidance for compensation and training decisions.

Skills

SQL

Python

BI Visualization

Text Analytics

Cloud Data Warehouses

ETL & Data Modeling

Education

Bachelor’s or Master’s in Quantitative field

Tools

Looker

Tableau

PowerBI

Snowflake/BigQuery/Databricks

Job description

Midi Health in the San Francisco Bay Area is seeking a Senior Data Analyst to design, build, and own the end-to-end analytics framework for our clinician workforce. You will manage data from recruiting through licensing to performance and patient outcomes, partnering with Clinical Leadership.

Role requires strong SQL, Python, and BI skills, with experience in NLP/text analytics and modern data warehouses. Hybrid work with on-site days in Palo Alto or SF.