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Manager, Healthcare Data Analytics
Vālenz® HealthManager of Healthcare Data Analytics leading a team in transforming healthcare data into actionable insights. Collaborating with cross-functional teams at Valenz Health to drive data-driven decisions.
Tech Stack
Tools & technologiesAzurePythonSQL
About the role
Key responsibilities & impact- Lead, coach, and develop a team of Analysts by providing technical direction, reviewing deliverables, and guiding problem-solving approaches.
- Define and execute the provider analytics roadmap in alignment with product and enterprise data strategy.
- Set clear performance expectations, support professional development, and manage ongoing performance.
- Serve as a subject matter expert in provider data, leading complex analyses to establish accurate provider identity, network status, affiliations, and hierarchy across multiple data sources.
- Design and support scalable, production-grade analytics workflows using SQL, Python, and Databricks.
- Ensure the accuracy, quality, and integrity of analytical outputs through strong validation and review practices.
- Partner cross-functionally with Data Engineering, Product, Application Development, and Client Success to deliver solutions, resolve complex issues, and support strategic initiatives.
- Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences.
- Identify and implement process improvements to enhance efficiency, scalability, and data reliability.
- Evaluate and introduce emerging technologies and best practices to strengthen provider data capabilities.
- Manage and track work through project management tools such as Azure DevOps and Salesforce.
Requirements
What you’ll need- 5+ years of healthcare data analytics experience (provider, claims, network)
- 2+ years in a leadership role
- Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Finance, or Economics) or equivalent experience.
- Advanced SQL skills and working knowledge of Python, with experience supporting or reviewing production-level code.
- Experience building and maintaining datasets used for analytics and business operations and ability to translate business needs into structured data solutions
- Strong attention to detail with a focus on data accuracy, validation, and quality.
- Excellent communication skills, with the ability to work across technical and non-technical teams.
- Highly organized, with the ability to manage multiple priorities in a fast-paced environment.
Benefits
Comp & perks- Competitive benefits package with generous employer subsidies
- Flexible and remote working options
- 401k with generous employer match and immediate vesting
- Personal and professional development opportunities
- Supportive family benefits, including paid leave for new family members
- Companywide philanthropic program, Valenz Communities Connection
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonDatabricksdata analyticsdata validationdata qualitydata integritydata workflowsdataset managementprocess improvement
Soft Skills
leadershipcoachingproblem-solvingcommunicationattention to detailorganizational skillscross-functional collaborationperformance managementanalytical thinkingactionable insights