Senior Data Analyst (Clinician Experience)

Join our team as a Senior Data Analyst focused on clinician experience. In this role, you will design and build the analytical framework for our clinician workforce, spanning the entire clinician lifecycle. You will develop performance frameworks, lead provider interaction analytics, and serve as the primary analytical partner to our Clinical Leadership and Executive team. The ideal candidate will have 5+ years of data analytics experience, a strong background in healthcare, and advanced skills in Python and SQL.

About Midi Health

Advanced SQL & Data Modeling: Expert-level SQL skills for querying, transforming, and modeling complex relational databases across disparate operational and EHR systems

Responsibilities

• Conception, construction, and ownership of the analytical framework for the clinician workforce.
• Development of performance frameworks that integrate operational SLAs with clinical quality and safety metrics.
• Leadership in provider interaction analytics, including the creation of evaluation and scoring logic for qualitative behavioral dimensions.
• 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)
• Behavioral & Lifecycle Analytics: Experience with cohort analysis, retention modeling, and constructing behavioral/qualitative scoring models
• Cross-Functional Influence: Demonstrated ability to partner effectively with non-technical stakeholders, particularly Clinical Lead/Medical Directors, Operations leads, and Talent teams

Requirements

• Python Proficiency: Advanced skills in Python for statistical analysis, cohort modeling, survival analysis, and text/sentiment processing
• 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
• Strategic Problem Structuring: Ability to take unstructured business and clinical questions and translate them into rigorous, answerable quantitative frameworks
• 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
• 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.)

Pay

USD 150,000 - 175,000