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About the Role

We are seeking a Senior Data Analyst to design, build, and own the analytical framework for our clinician workforce, covering the entire clinician lifecycle from recruitment to performance and business impact. You will partner with Clinical Leadership and the Executive team, merging operational, clinical, and qualitative data to drive strategic decisions.

Responsibilities

• Track and analyze the provider hiring funnel to optimize recruiting and onboarding.
• Build predictive frameworks and monitoring dashboards to improve credentialing and licensing efficiency.
• Analyze clinician retention trends and identify early-warning indicators of burnout or turnover.
• Design and maintain performance scorecards for operational efficiency metrics.
• Establish scoring frameworks to extract insights from visit transcripts and quantify qualitative provider attributes.
• Incorporate chart audit scores and clinical safety compliance into unified provider scorecards.
• Conduct analyses linking clinician behaviors and performance to patient retention and business impact.
• Translate complex provider performance data into executive dashboards and strategic frameworks.

Requirements

• Expert-level SQL skills for querying, transforming, and modeling complex relational databases.
• Advanced Python skills for statistical analysis, cohort modeling, survival analysis, and text/sentiment processing.
• Proven ability to design intuitive, executive-ready dashboards in modern BI tools (e.g., Looker, Tableau, PowerBI).
• Familiarity with text mining, sentiment analysis, or prompt-based LLM evaluation frameworks.
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks).
• Experience with modern AI tools (e.g., LLMs for coding efficiency, automated insights).
• Understanding of clinical operations, provider scheduling, EMR/EHR workflows, and clinical quality metrics.
• Experience with cohort analysis, retention modeling, and constructing behavioral/qualitative scoring models.
• Ability to translate unstructured business and clinical questions into quantitative frameworks.
• Demonstrated ability to partner effectively with non-technical stakeholders.
• 5+ years of data analytics experience delivering high-impact operational or workforce insights.
• Bachelor’s or Master’s degree in a Quantitative discipline (Data Analytics, Health Informatics, Statistics, Industrial Engineering, Economics) or equivalent practical experience.
• Candidates must be authorized to work in the U.S. without current or future sponsorship needs.

Skills

• SQL
• Data Modeling
• Python
• Statistical Analysis
• Cohort Modeling
• Survival Analysis
• Text Processing
• Sentiment Processing
• Data Visualization
• BI Tools (Looker, Tableau, PowerBI)
• Text Analytics
• NLP
• LLM
• Cloud Data Warehouses (Snowflake, BigQuery, Databricks)
• AI Tools
• Healthcare Operations
• EMR/EHR workflows
• Clinical Quality Metrics
• Behavioral Analytics
• Lifecycle Analytics

Location

• Palo Alto, CA
• San Francisco, CA

Work Type

• Hybrid

Experience Level

• Senior
• 5+ years

Education Level

• Bachelor's or Master's degree in a Quantitative discipline or equivalent practical experience

Salary/Compensations

• 150,000 - 175,000

Benefits

• Equity
• Competitive benefits

About the Company

• Midi Health is an Equal Opportunity Employer.

Equal Opportunity

• Midi Health is committed to pay equity and ensures that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
• Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.