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Senior Data Analyst - Clinician Experience

Midi · Hybrid - Palo Alto or San Francisco · Hybrid

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About Midi

MIDI Association Upcoming Events and Shows We'll be traveling the globe promoting MIDI 2.0 We inspire innovation What WE Do We are an all-volunteer, nonprofit trade association whose mission is [...].

About the role

We are looking for a highly analytical and business-minded Senior Data Analyst to design, build, and own the end-to-end analytical framework for our most critical operational asset: our clinician workforce.

What they're looking for

  • Advanced SQL & Data Modeling: Expert-level SQL skills for querying, transforming, and modeling complex relational databases across disparate operational and EHR systems
  • Python Proficiency: Advanced skills in Python for statistical analysis, cohort modeling, survival analysis, and text/sentiment processing
  • Data Visualization & BI: Proven ability to design intuitive, executive-ready dashboards in modern BI tools (e.g., Looker, Tableau, PowerBI)
  • Text Analytics & NLP Awareness: Familiarity with text mining, sentiment analysis, or prompt-based LLM evaluation frameworks for processing qualitative data (transcripts, chat logs, survey notes)
  • 5+ years of data analytics experience delivering high-impact operational or workforce insights
  • Bachelor’s or Master’s degree in Quantitative discipline (Data Analytics, Health Informatics, Statistics, Industrial Engineering, Economics) or equivalent practical experience
More about this role

📍 Hybrid, Palo Alto or San Francisco (Hybrid – 2 days/week in office)

Job Type: Full-time W2

We are looking for a highly analytical and business-minded Senior Data Analyst to design, build, and own the end-to-end analytical framework for our most critical operational asset: our clinician workforce. In this role, you will own the data ecosystem spanning the entire clinician lifecycle—from the moment a provider enters our recruiting funnel, through onboarding, credentialing, and state licensing, to their ongoing clinical performance, operational efficiency, and downstream business impact on patient retention.

You will develop performance frameworks that merge operational SLAs (e.g., on-time arrival, inbox turnaround times) with clinical quality and safety metrics. Additionally, you will lead our efforts in provider interaction analytics, creating evaluation and scoring logic to quantify qualitative behavioral dimensions, such as clinician empathy from consultation transcripts. Sitting at the intersection of Clinical Operations, Quality, Talent, Business Strategy, and Product, you will serve as the primary analytical partner to our Clinical Leadership and Executive team.

  • Recruiting...

Read the full posting on Midi's site ↗

Data Science

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