Associate Director, Health Systems Analytics & Process Enablement
N
NateraDiagnostics, Healthcare
US RemoteFull-TimeDirector
Salary133,600 - 167,000 USD per year
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Job Details
- Experience
- 8–10+ years in business operations, analytics, or similar roles
- Required Skills
- PythonSQLSalesforceSnowflakeCross-functional Team LeadershipBusiness OperationsData visualizationData management
Requirements
- 8–10+ years in business operations, analytics, or similar roles
- Understanding of the health system market, hierarchies for health systems and tools needed for reporting on this customer segment
- Advanced expertise in BI tools
- Comfort working with large, messy, healthcare-specific datasets
- Ability to turn unstructured problems into structured solutions
- Experience leading cross-functional initiatives
- Ability to run effective meetings, drive decisions, and maintain momentum
- Passion for data, with strong intuition for data structure, consistency, and usability
- Familiarity with applications such as Salesforce, LIMS, and Snowflake (Preferred)
- Ability to use SQL or Python to automate reporting workflows (Preferred)
- Experience leveraging AI-assisted tools (e.g., Cursor, Claude Code, Copilot, ChatGPT) to improve analytics and automate workflows (Preferred)
- Experience in healthcare, diagnostics, or lab operations (Preferred)
- Background in highly cross-functional environments (Preferred)
Responsibilities
- Build end-to-end reporting solutions in data management and visualization tools specific to the health system business.
- Translate health system related business questions into clear metrics and executive-ready visualizations.
- Leverage AI-assisted tools (e.g., Cursor, Claude Code, Copilot) to accelerate development, automate workflows, and improve documentation.
- Improve scalability through reusable logic, standardized models, and quality checks and validation processes.
- Redesign operational workflows, especially around reporting and performance tracking.
- Replace manual, duplicative, or error-prone processes.
- Standardize how data is consumed across teams.
- Work across the organization to align on metric definitions and reporting requirements.
- Act as a central coordinator across teams to drive progress and accountability.
- Partner with IT and Engineering to ensure clean data pipelines.
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