Senior Data Analyst Clinician Experience

Hybrid Palo Alto or San Francisco (Hybrid 2 days/week in office)
Reports to: Director Data Science Analytics
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 this role you will own the data ecosystem spanning the entire clinician lifecyclefrom 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 & Onboarding Optimization: Track and analyze the provider hiring funnel to uncover drop-off points streamline time-to-hire and improve conversion rates across clinical specialties.
• Credentialing & Licensing Efficiency: Build predictive frameworks and monitoring dashboards to reduce state-by-state licensing bottlenecks and decrease provider time-to-first-consultation.
• Cohort Retention & Attrition Modeling: Analyze first-year clinician retention trends identifying early-warning indicators of burnout or regrettable turnover and evaluating the long-term impact on operational capacity.

• Operational SLA Tracking: Design and maintain performance scorecards tracking operational efficiency metrics including appointment on-time start rates EMR/EHR inbox turnaround times chart completion speed and panel utilization.

• Transcript & Empathy Analytics: Establish scoring frameworks and evaluation logic to extract insights from visit transcripts. Quantify qualitative provider attributes (e.g. patient rapport empathy active listening) using sentiment and text analytics LLM tools.
• Clinical Safety & Quality Alignment: Partner with the Clinical Quality and Safety teams to incorporate chart audit scores and clinical safety compliance into unified provider scorecards.

• Clinician Impact on Patient Retention: Conduct causal and correlation analyses linking specific clinician behaviors operational SLAs and empathy scores directly to patient retention net promoter scores (NPS) and long-term treatment plan adherence.
• Executive Reporting & Strategic Guidance: Translate complex provider performance data into clear executive dashboards and strategic frameworks that directly inform clinician compensation training programs and operational workflows.

• 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).
• Modern Analytics Stack & AI Tools: Experience with cloud data warehouses (Snowflake BigQuery Databricks) and active adoption of modern AI tools (e.g. LLMs for coding efficiency automated insights) to accelerate analytics workflows.

• Healthcare Operations Intuition: Understanding of clinical operations provider scheduling EMR/EHR workflows (e.g. Epic Athena or proprietary telehealth EHRs) and clinical quality metrics.
• Behavioral & Lifecycle Analytics: Experience with cohort analysis retention modeling and constructing behavioral/qualitative scoring models.
• Strategic Problem Structuring: Ability to take unstructured business and clinical questions and translate them into rigorous answerable quantitative frameworks.
• Cross-Functional Influence: Demonstrated ability to partner effectively with non-technical stakeholders particularly Clinical Lead/Medical Directors Operations leads and Talent teams.

• 5 years of data analytics experience delivering high-impact operational or workforce insights.
• Healthcare Experience: Strong preference for background in Digital Health Telehealth Tech-enabled Medical Groups or Health Operations. (Strong candidates with backgrounds in People Analytics/People Data Science with exposure to operational telemetry are also encouraged to apply.)
• Bachelors or Masters degree in Quantitative discipline (Data Analytics Health Informatics Statistics Industrial Engineering Economics) or equivalent practical experience.

Recruiter Screen- 30 mins
Hiring Manager Screen- 30 mins
Technical Screen- 1hr
Panel Interviews- 3 hours Lunch in Office in Palo Alto

At this time Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs.

This is a full-time W2 position. The base salary range is 150-175K and will depend on experience. Midi pays a competitive base salary plus equity and benefits.

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this time Midi isunable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.

Please note that all official communication from Midi Health will come from an @email address. We willnever ask for payment of any kind during the application or hiring you receive any suspicious communication claiming to be from Midi Health please report it immediately by emailing us at.

Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure 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 applicants salary history.

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