Manager of Healthcare Analytics & Reporting

• Lead the development, governance, and optimization of enterprise reporting and analytics solutions.
• Establish reporting standards, KPI definitions, metric governance, and dashboard best practices.
• Develop executive-level reporting and scalable self-service analytics capabilities.

• Design, develop, and maintain Power BI dashboards, semantic models, data pipelines, and reporting infrastructure.
• Build and optimize scalable data models, SQL transformations, and analytical datasets that support enterprise reporting and operational decision-making.
• Develop, integrate, and maintain data connections through APIs, healthcare data exchange platforms, and third-party applications to support scalable data ingestion, automation, and reporting solutions.
• Ensure data quality, performance, accessibility, and consistency across reporting environments.
• Apply best practices in data engineering, data architecture, governance, and analytics development.

• Develop operational metrics and key performance indicators that measure organizational performance and support strategic goals.
• Deliver actionable insights that identify trends, opportunities, risks, and areas requiring intervention.
• Translate complex healthcare data into meaningful recommendations that drive operational improvement and business outcomes.

• Drive the evaluation and adoption of AI-enabled analytics, automation, and emerging technologies.
• Identify opportunities to improve reporting efficiency, insight generation, forecasting, and decision support through advanced analytics and AI solutions.
• Champion innovation and modern analytics practices across the organization.

• Serve as a strategic analytics partner to Medical Economics, Clinical Operations, Finance, and Executive Leadership.
• Present analytical findings and recommendations to technical and non-technical stakeholders.
• Foster a culture of data-driven decision-making, innovation, and continuous improvement.

• Bachelor’s degree in Analytics, Data Science, Statistics, Computer Science, Healthcare Administration, Actuarial Science, or a related field.
• 5+ years of experience in healthcare analytics, business intelligence, medical economics, data engineering, or a related analytical role.
• Advanced Power BI experience, including dashboard development, data modeling, DAX, and performance optimization.
• Hands-on experience designing, querying, and optimizing data solutions within Snowflake, Databricks, or similar cloud-based analytics platforms.
• Advanced SQL experience working with large-scale healthcare data warehouses, including claims, eligibility, provider, and clinical datasets.
• Strong data engineering experience designing and maintaining data pipelines, semantic models, and analytical datasets.
• Experience working with APIs, JSON/XML data structures, authentication methods (OAuth, API keys), and the integration of third-party healthcare, operational, and business systems into analytics and reporting environments.
• Experience developing operational metrics, KPIs, scorecards, and executive reporting solutions.
• Proven ability to translate complex analytical findings into actionable business insights and recommendations.
• Experience working with healthcare claims and healthcare operational data.
• Strong understanding of value-based care, healthcare quality metrics, utilization management, and risk adjustment concepts.
• Experience leveraging AI, machine learning, or generative AI to improve analytics, reporting, automation, or operational decision-making.
• Excellent communication and presentation skills with the ability to effectively engage both technical and non-technical stakeholders.

• 401(k)
• Health insurance
• Dental insurance
• Vision insurance
• Disability insurance
• Life insurance
• Paid time off

This is a fulltime opportunity 

Remote (preference for Eastern time zone)