Manager, Healthcare Analytics
United States3d ago
Free account needed to apply or save. It takes a minute, and we'll bring you right back to this job.
How well do you match this job?
Key details
- Location
- United States
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Experience
- 5–8 yrs
- Function
- Healthcare
- Focus area
- other
- Posted
- 3d ago
Skills
About the role
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Manager, Healthcare Analytics based in the United States.
Join a healthcare technology organization dedicated to improving healthcare affordability, quality, and patient outcomes through data-driven innovation. As Manager, Healthcare Analytics, you will lead a team of analysts in transforming complex healthcare data into actionable insights and innovative product solutions. You will collaborate with Product, Data Engineering, and Application Development teams to develop analytics capabilities that address evolving business and customer needs. Your work will help strengthen data quality, optimize operational processes, and support the successful development and implementation of new products. You will also establish analytical best practices, monitor industry trends, and ensure that insights are communicated effectively to diverse stakeholders. This fully remote opportunity is ideal for an experienced analytics professional who combines technical expertise, people leadership, and a strong customer-focused mindset. You will have the opportunity to make a meaningful impact on healthcare cost management, data transparency, and the overall healthcare experience.
Accountabilities
-
Team Leadership and Development: Lead, mentor, and develop a team of analysts, fostering analytical excellence, collaboration, accountability, and continuous professional growth.
-
Product Strategy and Collaboration: Partner with Product teams and key stakeholders to identify business needs, define analytical requirements, and prioritize initiatives that support new product development.
-
Data-Driven Solution Development: Collaborate with Data Engineering and Application Development teams to design, develop, and implement analytics solutions that translate healthcare data into practical business outcomes.
-
Healthcare Data Analysis: Leverage medical claims data and other relevant datasets to generate meaningful insights, identify trends, and support product innovation and performance improvement.
-
Data Quality and Integrity: Establish and maintain rigorous validation practices to ensure analytical accuracy, data consistency, and the reliability of deliverables.
-
Process Optimization: Identify opportunities to improve analytical workflows, streamline operations, and increase team productivity and efficiency.
-
Technology and Best Practices: Promote high standards in analytics development, data management, and technical processes while staying informed about emerging technologies and industry developments.
-
Stakeholder Communication: Present analytical findings, project updates, and recommendations clearly, adapting communication to the technical knowledge and priorities of different audiences.
-
Project Management and Tracking: Oversee project tracking tools, including Azure DevOps and Salesforce, to monitor progress, coordinate deliverables, and support successful product implementation.
-
Customer-Centric Innovation: Ensure that analytical initiatives and product solutions reflect customer needs and contribute to improved healthcare cost management, quality, access, and utilization.
-
Education: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
-
Professional Experience: At least 5 years of experience in analytics, including a minimum of 2 years in a supervisory or people management role.
-
Healthcare Data Expertise: Demonstrated experience working with medical claims data, with the ability to interpret complex healthcare datasets and translate findings into actionable insights.
-
Python Programming: Practical experience using Python for data analysis, analytical workflows, or related data-driven applications.