Analytics Engineer<\/p>\n
Location: Remote<\/p>\n
Duration: 1 year contract<\/p>\n
Bill Rate: $110-115\/hour<\/p>\n
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.<\/p>\n
Data Architecture & DataMart Development<\/p>\n
\u00b7 Design and maintain analytic-ready datasets<\/p>\n
\u00b7 Lead development of enterprise DataMarts (e.g., ODAG, Timeliness, Risk Adjustment)<\/p>\n
\u00b7 Ensure alignment with standardized business definitions and CMS-driven logic<\/p>\n
\u00b7 Partner with Managed Care, Finance, and Operations to stabilize and operationalize requirements<\/p>\n
Data Pipeline & Data Lake Enablement<\/p>\n
\u00b7 Build and optimize data pipelines leveraging Databricks and enterprise data platforms<\/p>\n
\u00b7 Integrate data from multiple sources including Epic Clarity, Tapestry, claims, and external vendors<\/p>\n
\u00b7 Support transformation, and validation of large-scale datasets (e.g., HEDIS, CMS files, lab data)<\/p>\n
\u00b7 Automate data workflows to reduce manual intervention and improve reliability<\/p>\n
Business Intelligence & Visualization<\/p>\n
\u00b7 Develop and maintain Tableau and Power BI dashboards aligned to DSS standards<\/p>\n
\u00b7 Enable self-service analytics by exposing curated datasets rather than one-off reports<\/p>\n
AI & Advanced Analytics Enablement<\/p>\n
\u00b7 Leverage Python for data transformation, automation, and advanced analytics workflows<\/p>\n
\u00b7 Integrate LLM-based capabilities for summarization, classification, and insight generation (e.g., call center analytics, CRM insights)<\/p>\n
\u00b7 Partner in developing AI-driven data products that enhance operational decision-making<\/p>\n
\u00b7 Support transition toward automated data pipelines and AI-enriched datasets<\/p>\n
Requirements \u2013<\/p>\n
5\u20138+ years of experience in data analytics, business intelligence, or data engineering within Epic healthcare, managed care, data environment<\/p>\n
Proven experience designing and developing analytic-ready datasets and enterprise DataMarts supporting reporting and operational analytics<\/p>\n
Hands-on experience working with data lake or modern data platforms such as Databricks, Azure Data Lake, or Snowflake<\/p>\n
Strong experience developing and optimizing SQL-based data transformations across large, complex datasets<\/p>\n
Demonstrated experience building dashboards and data visualizations using Tableau and\/or Microsoft Power BI<\/p>\n
Experience using Python for data processing, automation, and analytics workflows<\/p>\n
Experience building and maintaining ETL\/ELT pipelines, including data ingestion, transformation, and validation<\/p>\n
Exposure to AI\/ML or LLM-based use cases, including data summarization, classification, or insight generation<\/p>\n
Experience working with healthcare data domains such as claims, enrollment, provider data, or electronic health records (Epic Clarity preferred)<\/p>\n
Experience supporting regulatory or audit-driven reporting (e.g., CMS, HEDIS, Medicare Advantage)<\/p>\n<\/h4>\n","protected":false},"author":0,"featured_media":774,"template":"","meta":{"inline_featured_image":false,"_promoted":"","_job_location":"Los Angeles, California","_application":"applications@staffingfuture.com","_company_name":"Medasource","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job-types":[15],"class_list":{"0":"post-3171","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"has-post-thumbnail","5":"hentry","7":"job-type-contract"},"yoast_head":"\n