Solves complex business issues using data from internal and external sources to provide insight to decision-makers.
Involves moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
Describes the tools, applications and practices used to analyze an organization's raw data to create insightful and applicable business information.
Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components.
Exercises considerable latitude in determining objectives and approaches to assignments.

Advanced experience working with massive, complex data sets within large-scale modernization efforts.
Experience analyzing data to architect solutions for complex business problems (e.g., Master Data Management, Identity Resolution, or Semantic Modeling).
Proficiency in navigating and untangling legacy healthcare data ecosystems.
Experience defending technical approaches and troubleshooting issues directly with senior and executive leadership.
Must be passionate about contributing to an organization focused on improving consumer experiences.
Advanced in SQL, Python/PySpark, Databricks, and modern Cloud data architectures.
Hands-on experience with Graph Databases (e.g., Neo4j) and/or NoSQL Document Stores (e.g., MongoDB).
Expertise in data mastering, probabilistic matching algorithms, and enterprise data governance.
Deep knowledge of Healthcare Provider Data: Demographics, Contractual Data, and Clinical Networks

medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
short-term and long-term disability
life insurance and many other opportunities

Senior Business Intelligence Engineer

Key skills