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Evolent

Senior Analyst, AI Transformation

Evolent

Senior Analyst designing and deploying AI-enabled analytics workflows at Evolent, connecting health plans and providers for improved healthcare outcomes.

Posted 5/28/2026full-timeRemote • Virginia • 🇺🇸 United StatesSenior💰 $80,000 - $110,000 per yearWebsite

Tech Stack

Tools & technologies
AzureCloudPandasPythonSQL

About the role

Key responsibilities & impact
  • Build Microsoft Fabric pipelines and consolidated Lakehouse models.
  • Develop certified views with reconciled metric definitions.
  • Engineer Azure OpenAI prompts for narrative and insight generation.
  • Build Python-based automation for reporting and compliance workflows.
  • Support self-service analytics platforms with text-to-SQL and routing logic.
  • Implement automated compliance and validation checks.
  • Build signal detection and alerting pipelines.
  • Track and analyze AI-driven program effectiveness.
  • Maintain build logs and time tracking aligned to ASC 350-40.
  • Create Copilot prompt playbooks and best practices.
  • Monitor pipeline health and resolve data issues.
  • Support Power BI automation and DAX libraries.

Requirements

What you’ll need
  • Bachelor’s degree in a quantitative field (computer science, data science, statistics, mathematics, engineering) or healthcare-related discipline.
  • At least 3 years of professional experience in analytics engineering, data engineering, or applied AI/ML development.
  • Strong proficiency in Python (pandas, FastAPI, API integrations) and SQL (complex joins, window functions, CTEs across multiple database platforms).
  • Experience with cloud data platforms, particularly Microsoft Azure (Azure Data Factory or Fabric, Azure SQL, Azure OpenAI or similar LLM APIs).
  • Prompt engineering and LLM integration experience, including structured output generation and iterative prompt optimization.
  • Proficiency with Power BI and DAX; ability to build and troubleshoot reports and measures programmatically.
  • Experience with healthcare claims data, and healthcare-specific data structures.
  • Strong problem-solving abilities with a track record of building and deploying production-grade data pipelines and automation tools.
  • Ability to work independently with limited oversight while coordinating effectively with cross-functional teams.
  • Strong documentation practices, including the ability to maintain clear project logs, metric definition documents, and pipeline architecture records.

Benefits

Comp & perks
  • health insurance benefits

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Hard Skills & Tools
PythonSQLDAXAzure Data FactoryAzure SQLAzure OpenAIPower BIpandasFastAPIprompt engineering
Soft Skills
problem-solvingindependent workcross-functional collaborationdocumentation practices