Manager, Medical Economics (Pop Health/Clinical Analytics) - REMOTE

Molina Healthcare; Long Beach (CA); Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled manager to lead their Medical Economics Team. This role involves overseeing data management, developing insightful reports for operational and strategic analysis, and ensuring the accuracy of analytics in a healthcare environment. The ideal candidate will possess strong leadership skills, a solid background in data analysis, and proficiency in tools like Excel and SQL. Join a forward-thinking organization that values innovation and collaboration, where your expertise will drive impactful decision-making in healthcare analytics.

Qualifications

• 3 years management experience and 10 years in healthcare or claims data.
• Strong knowledge of Excel, SQL, and report development.

Responsibilities

• Manage Medical Economics Team and oversee project activities.
• Coordinate data analysis and maintain reporting benchmarks.
• Create reports for strategic analysis and profitability.

Skills

Team Leadership

Data Analysis

Communication Skills

Excel

SQL

Power BI

Python/PySpark

Education

Bachelor's Degree in Finance, Economics, Math, Computer Science, Information Systems

Master's Degree in Finance, Economics, Math, Computer Science, Information Systems

Tools

Power BI

SQL

Job description

JOB DESCRIPTION

Job Summary

Collects, validates, analyzes, and organizes data into meaningful reports for management decision making as well as designing, developing, testing, and deploying reports to other end users for operational and strategic analysis.

KNOWLEDGE/SKILLS/ABILITIES

Manages and provides direct oversight of Medical Economics Team activities and personnel. Provides technical expertise, manages relationships with operational leaders and staff. Directs staff assigned to their projects, maintains internal work plans as well as project work plans to meet reporting needs of the Medical Economics Team. Responsible for staff time keeping, performance coaching, development, and career paths.

• Daily management of Data management, Tools & Technology work stream.
• Allocate new report/project requests (workload distribution).
• Coordinates with Medical Economics team to meet data analysis and database development needs.
• Reviews, evaluates, and improves business logic and data sources.
• Resource to staff for mentoring, coaching, and analysis questions.
• Reviews Medical Economics analyst work products to ensure accuracy and clarity.
• Reviews regulatory reporting requirements and Health Plan project documentation.
• Maintains reporting service level benchmarks for EIM team.
• Represents Medical Economics department in cross-departmental and operational meetings.
• Serves as liaison between EIM and Medical Economics regarding reporting needs.
• Creates reporting for strategic analysis, profitability, financial analysis, utilization patterns and medical management.
• Interfaces and maintains positive interactions with Health Plan and Corporate personnel.

JOB QUALIFICATIONS

Required Education

Bachelor's Degree in Finance, Economics, Math, Computer Science, Information Systems, or related field.

Required Experience

• 3 years management or team leadership experience.
• 10 years’ work experience preferable with claims data and/or healthcare environment.
• Strong knowledge of Excel, SQL, and Power BI report development.
• Familiar with relational database concepts, and SDLC concepts.

Preferred Education

• Masters' Degree in Finance, Economics, Math, Computer Science, Information Systems, or related field.

Preferred Experience

• 3 – 5 years supervisory experience.
• Experience in Population Health/Clinical Analytics.
• Experience in Clinical Program Evaluation.
• Experience in building clinical targeting models for Case Management.
• Experience or strong desire to learn Python/PySpark.
• Well developed communication and presentation skills.
• Strong interest in healthcare with an understanding of nuances that impact analytics.
• Self-motivated to learn and expand domain knowledge and technical skills.