Data Business Systems Analyst (Healthcare Payer Data)
TalentOla
As a Data Business Systems Analyst (Healthcare Payer Data) you'll bridge business and technical teams, helping translate business requirements into enterprise data solutions. The role focuses on healthcare payer data, analytics, reporting, cloud data platforms, and data governance.
Location: Philadelphia, PA
Key Responsibilities:
Business & Data Analysis
- Gather and document business and data requirements.
- Create:
- BRDs
- FRDs
- User Stories
- Process Flows
- Data Mapping Documents
- Source-to-Target Mappings
- Conduct stakeholder workshops.
- Support Agile ceremonies and backlog management.
Data Analysis & Modeling
- Analyze large healthcare datasets.
- Define:
- Data domains
- Business rules
- Data transformations
- Data quality standards
- Perform gap analysis and source-to-target mapping.
- Support data governance and master data management.
Cloud & Data Platform Projects
- Support cloud-based data initiatives and modernization efforts.
- Work with:
- Snowflake
- Azure Data Platform
- Azure Synapse
- Microsoft Fabric
- AWS Data Services
- Google Cloud Data Services
- Support data warehouse and cloud migration projects.
Data Product Support
- Partner with Product Owners and business teams.
- Define data products, dashboards, KPIs, and reporting solutions.
- Help create:
- Product roadmaps
- Business cases
- Product backlogs
- Adoption Metrics
Data Governance & Quality
- Define data quality rules.
- Support:
- Data lineage
- Metadata management
- Business glossaries
- Data governance initiatives
Healthcare Domain Support
Work with healthcare payer functions including:
- Claims
- Enrollment & Membership
- Provider Management
- Care Management
- Utilization Management
- Risk Adjustment
- HEDIS/STARS
- Customer Experience
Supports:
- Medicare
- Medicaid
- Commercial
- Marketplace plans
Required Experience:
- 8+ years as a:
- Business Systems Analyst
- Data Analyst
- Data BSA
- 5+ years supporting enterprise data initiatives.
- Healthcare payer industry experience.
- Strong requirements gathering and documentation experience.
Technical Skills:
- Strong SQL
- Source-to-target mapping
- Data profiling and data quality analysis
- Knowledge of:
- Data Warehousing
- Data Lakes
- Data Governance
- Metadata Management
- Data Lineage
- Dimensional Modeling
Cloud Experience:
Preferred experience with:
- Snowflake
- Azure Synapse
- Azure Data Platform
- Microsoft Fabric
- AWS Data Services
- Google Cloud Data Services
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