Senior Data Systems Analyst

Wellbe Senior Medical

4h•Hybrid

About The Position

The Senior Data Systems Analyst leads the integration of various healthcare payer data and internal enterprise systems data into WellBe’s enterprise data platforms. This role is responsible for analyzing, mapping, validating, and standardizing various payer feeds including eligibility, claims, quality, and risk adjustment data, alongside internal systems such as EMR , CRM, HR etc to maintain a reliable single source of truth supporting value based care. The ideal candidate will combine strong healthcare data knowledge, technical domain expertise with ownership over complex payer and internal systems integration and manage multiple concurrent data initiatives and integration.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience
6+ years of experience in data warehousing, data integration, or analytics roles
Strong experience working with Medicare Advantage payer data, including 834, 837, HEDIS, and RAF datasets
Advanced SQL skills and strong understanding of relational database concepts
Deep knowledge of enterprise data warehouse and data mart architectures
Experience with data governance frameworks and tools (e.g., Catalog, Atlan, Collibra, Alation) and data quality frameworks.
Working knowledge of cloud-based data platforms like snowflake/redshift etc.
Familiarity with scrum/agile methodologies and Jira
Proven ability to lead cross-functional teams and drive agile delivery
Excellent communication and stakeholder management skills
Excellent problem-solving, interpersonal, and stakeholder management skills
High level of ownership, initiative, and attention to detail

Responsibilities

Lead onboarding and integration of various payer feeds, including eligibility (834 or flat files), medical and institutional claims (837 or flatfiles), HEDIS quality data, HIE, and risk adjustment and RAF related datasets
Analyze and map data from external payer sources and internal systems such as EMR, CRM, and operational platforms into the enterprise data model
Own and maintain source to target mappings, transformation logic, and standardized data definitions across payer and internal feeds
Identify payer specific variations, data quality issues, and structural differences, and drive normalization within the data warehouse
Validate data ingestion and transformations through profiling, reconciliation, and exception analysis
Partner closely with data engineering to ensure scalable, accurate, and well documented ingestion pipelines
Serve as a subject matter expert for integrated payer and internal data, supporting analytics, reporting, and operational use cases
Lead discovery sessions with customers to document technical specifications, data elements, and business requirements
Translate clinical, operational, and business requirements into clear data and system specifications
Define and implement data quality rules and monitoring frameworks for all critical data pipelines
Develop and enforce data governance policies, including metadata management, lineage tracking, and compliance standards.
Ensure integration stories are delivered on time and are fully prepared for engineering implementation