Job Description
Please find below the Job description and share your latest resume if you are interested?
Position: Epic BI Specialist in Healthcare with AI/LLM tools
Location: 100% Remote
Visa Status: Independent Consultant
Duration: 6+ Months (Will be a Long Term Contract or CTH)
W2 POSITION
Required Skills:
Someone who has healthcare experience, EPIC experience, has BI development experience primarily , but need AI/LLM too. that's the basics of what's required. Remote.
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
- 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)
Thanks and Regards
Karan Rajput | US IT Recruiter
Desk: 609-973-8207 || [email protected]
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