Epic BI Specialist in Healthcare with AI/LLM Tools

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 || KRajput@kpgtech.com