Senior Data Analyst, Network Optimization
New
J
JobgetherMental healthcare
Work remotely from within the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least eight years of professional analytics experience
- Required Skills
- SQLGCPTableauData modelingA/B testingdbt
Requirements
- At least eight years of professional analytics experience.
- A master's degree or equivalent practical experience.
- Expert-level SQL skills and strong data modeling expertise in a cloud-based data warehouse environment such as Google BigQuery or Google Cloud Platform.
- Ability to write clean, efficient, performant, and well-documented code for reliable analytical workflows.
- Hands-on experience developing and scaling dbt projects, including testing, documentation, model development, and governed metric definitions.
- Expertise in forecasting, econometric modeling, and quantitative analysis; operations research techniques such as capacity planning, supply-and-demand optimization, and resource allocation are relevant.
- Experience designing, executing, and interpreting A/B tests and other experiments, and selecting alternative evaluation methods when controlled experiments are not feasible.
- Proficiency with data visualization and business intelligence tools such as Tableau, including dashboard development.
- Familiarity with AI-powered analytical tools and MCP integrations, and using AI to improve data exploration, analysis, and insight generation.
- Preferred: experience in healthcare, digital health, or a related clinical services environment.
Responsibilities
- Build and improve forecasting models comparing clinician network capacity with patient demand across U.S. state markets and clinical care programs.
- Translate supply-and-demand forecasts into recommendations for clinician recruitment and network expansion.
- Develop analytical frameworks, performance metrics, and insights for clinician recruitment, onboarding, engagement, and retention.
- Design measurement frameworks for clinical quality, therapeutic alliance, patient-clinician relationships, and patient panel balance.
- Collaborate with Product and Engineering to design, execute, and evaluate experiments involving scheduling experiences and clinician-facing features.
- Investigate Network product performance trends, identify root causes, and connect metrics to organizational objectives, clinical outcomes, and financial performance.
- Present analyses, forecasts, and experiment results to senior leadership and cross-functional stakeholders.
- Build, maintain, and document data models supporting KPIs, governed metrics, and AI-assisted analytical workflows.
- Establish metric definitions, testing standards, documentation practices, and scalable data modeling approaches to improve data reliability.
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