Can be remote, but if person lives near by LA and can commute to our LAX office, we require them to come once a month for a monthly team meeting.
Job Description:
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
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)
Interested candidate please share your resume at divyanshi@mindmergetech.net