BI Data Architect with Epic

Overview Akkodis is seeking Data Architect with Epic for a 36-month Contract job with a client in LA, CA- Remote - (1 days onsite in a month’s) . Ideally looking for applicants with a solid background in the financial services industry. Pay: $70-75/hour – All Inclusive; The rate may be negotiable based on experience, education, geographic location, and other factors. Requirements Data Architect Epic SQL SSIS Any ETL tools 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. 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 Qualifications 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) How to apply If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Aditya Singh at View email address on click.appcast.io Equal Opportunity Equal Opportunity Employer/Veterans/Disabled Benefits Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. Privacy To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit . The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers