Analytics Engineer

This Analytics Engineer role operates at the intersection of data engineering business intelligence and applied AI ensuring data solutions are accurate governed scalable and aligned with organizational strategy.

Data Architecture & DataMart Development
Design and maintain analytic-ready datasets
Lead development of enterprise DataMarts (e.g. ODAG Timeliness Risk Adjustment)
Ensure alignment with standardized business definitions and CMS-driven logic
Partner with Managed Care Finance and Operations to stabilize and operationalize requirements

Data Pipeline & Data Lake Enablement
Build and optimize data pipelines leveraging Databricks and enterprise data platforms
Integrate data from multiple sources including Epic Clarity Tapestry claims and external vendors
Support transformation and validation of large-scale datasets (e.g. HEDIS CMS files lab data)
Automate data workflows to reduce manual intervention and improve reliability
Business Intelligence & Visualization
Develop and maintain Tableau and Power BI dashboards aligned to DSS standards
Enable self-service analytics by exposing curated datasets rather than one-off reports

AI & Advanced Analytics Enablement
Leverage Python for data transformation automation and advanced analytics workflows
Integrate LLM-based capabilities for summarization classification and insight generation (e.g. call center analytics CRM insights)
Partner in developing AI-driven data products that enhance operational decision-making
Support transition toward automated data pipelines and AI-enriched datasets

Requirements

5 8 years of experience in data analytics business intelligence or data engineering within Epic healthcare managed care data environment
Proven experience designing and developing analytic-ready datasets and enterprise DataMarts supporting reporting and operational analytics
Hands-on experience working with data lake or modern data platforms such as Databricks Azure Data Lake or Snowflake
Strong experience developing and optimizing SQL-based data transformations across large complex datasets
Demonstrated experience building dashboards and data visualizations using Tableau and/or Microsoft Power BI
Experience using Python for data processing automation and analytics workflows
Experience building and maintaining ETL/ELT pipelines including data ingestion transformation and validation
Exposure to AI/ML or LLM-based use cases including data summarization classification or insight generation
Experience working with healthcare data domains such as claims enrollment provider data or electronic health records (Epic Clarity preferred)
Experience supporting regulatory or audit-driven reporting (e.g. CMS HEDIS Medicare Advantage)