Lead Analyst, Healthcare Analytics - REMOTE

Molina Healthcare; Des Moines (IA); Remote; USD 65,791 - 142,548; Full time

Job summary

Molina Healthcare is seeking a Lead Analyst in Des Moines, Iowa. This role involves designing and prototyping Medical Economics data assets while translating complex concepts into structured logic. The ideal candidate has over 6 years of experience in Data or Systems Analysis, with expert SQL knowledge. Preferred skills include understanding of Medical Economics, and proficiency in Python or BI tools like Tableau. A competitive salary range of $65,791 - $142,549 annually is offered, based on experience and location.

Qualifications

• 6+ years of progressive responsibilities in Data, Finance or Systems Analysis.
• Expert knowledge of SQL.
• Experience in Medical Economics is preferred.

Responsibilities

• Designs and prototypes Medical Economics data assets.
• Translates business needs into clear, structured data requirements.
• Defines and executes data validation and quality checks.

Skills

Healthcare data analysis

SQL

Attention to detail

Communication skills

Education

Bachelor's Degree in Finance, Economics, Computer Science

Tools

Python

R

Tableau

Power BI

Job description

JOB DESCRIPTION

The Lead Analyst serves as a data steward with deep subject matter expertise, responsible for designing and prototyping Medical Economics data assets that are clearly defined and fit for use. This role bridges business and data by translating complex concepts into structured logic.

KNOWLEDGE/SKILLS/ABILITIES

• Performs research and analysis of complex healthcare data (eligibility, claims, auths etc.)
• Acts as the designated data steward for assigned domains.
  • Maintain and evolve business definitions, data logic and rules.
  • Apply deep subject matter expertise to ensure data reflects real-world business processes.
• Translates business needs into clear, structured data requirements and logic.
  • Identify and resolve ambiguities, inconsistencies, and gaps in definitions
  • Partner with stakeholders to align on intended meaning vs actual implementation
• Contributes to data model design and evolution.
  • Builds design prototypes
  • Provides detailed requirements to engineering for implementation
• Defines and execute data validation and quality checks.
  • Investigates anomalies and discrepancies across systems
  • Drives resolution with appropriate teams (engineering, source system owners, etc.)
• Maintain clear, structured documentation to ensure traceability between business intent and data implementation.
• Support downstream users (reporting, actuarial, finance) in understanding and using data correctly.
• Has experience working with large-scale healthcare datasets.
• Understands healthcare economics and operations.
• Pays strong attention to details with ability to see the big picture.
• Communicates clearly and concisely.
• Escalates cross-domain conflicts, prioritization trade-offs, and strategic decisions to Manager/Director.
• Operates effectively within defined ownership structures.
• Proactively identifies and resolves issues, not wait for direction.

JOB QUALIFICATIONS

Required Education

• Bachelor's Degree in Finance, Economics, Computer Science

Required Experience

• 6+ years of progressive responsibilities in Data, Finance or Systems Analysis
• Expert knowledge with SQL

Preferred Education

• Bachelor's Degree in Finance, Economics, Math, or Computer Science

Preferred Experience

• Experience in Medical Economics
• Business stakeholder management
• Familiarity with Python, R or BI tools (e.g., Tableau, Power BI)
• Experience with service categorization
• Deep auth data knowledge

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $65,791.66 - $142,548.59 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.