Healthcare Data Analyst

Requirements:

• Healthcare provider experience required
• 5+ years' experience as healthcare provider data analyst for the purpose of integration or data movement including source to target mapping.
• Python preferred, SQL

• 5+ years' experience in producing data dictionaries content
• 5+ years' experience working with data tools such as SQL, R, Python, SAS, and Tableau
• 3+ years' experience with data profiling
• Ability to analyze large datasets
• Ability to create comprehensive reports
• Experience documenting/presenting data analysis findings
• Strong verbal/written communication skills
• Strong analytical skills

The goal is to drive the improvement in the accessibility and quality of our data assets and tools and allow us to deliver data solutions faster than we do today. Our goal is to ensure our ability to grow is unconstrained by any limitations of our data. The data team is comprised of business and technical teams for Provider, Client (Buyer) and Intermediary (Producer) Data Domains as well as foundational enterprise data teams. The Client (Buyer) and Intermediary (Producer) Data Domains team establishes client and producer data strategies through an Enterprise lens and ensures roadmap delivery for all enterprise client and producer data domain initiatives.

The Data Analyst requires a candidate with strong data analysis skills to understand, document and analyze data within Customer data assets as well as document data requirements from source to target data migration.

Responsibilities:

• Conduct data analysis and comparison across systems
• Perform data profiling activities to provide statistics and informative summaries for integration of new source system data into environment
• Build out data dictionary including data definitions, data values, and formats
• Establish data collection mapping process for multiple systems, in collaboration with Data Stewards
• Investigate/document data lineage throughout data lifecycle
• Extrapolate business rules based on data analysis and document analysis findings
• Perform ad-hoc data analysis and create output reports for business use
• Work collaboratively with Business, IT, data modelers, data quality analysts, and delivery teams to analyze data