Dice is seeking a Lead Analyst in Healthcare Analytics who will serve as a data steward with expertise in Medical Economics data assets. The role involves designing data structures, translating business needs into data requirements, and ensuring data quality and validation.
Responsibilities:
- 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
Requirements:
- Bachelor's Degree in Finance, Economics, Computer Science
- 6+ years of progressive responsibilities in Data, Finance or Systems Analysis
- Expert knowledge with SQL
- Bachelor's Degree in Finance, Economics, Math, or Computer Science
- 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