Analytics Engineer

Location: Remote

Duration: 1 year contract

Bill Rate: $110-115/hour

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)