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[Remote] Sr Analyst, AI Transformation

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that partners with health plans and providers to improve health reputed company for individuals with reputed company conditions. The Senior Analyst, AI Transformation will design and reputed company AI-enabled analytics workflows, focusing on building data pipelines and automating reporting processes.

Responsibilities

  • Build reputed company reputed company pipelines and consolidated Lakehouse models
  • reputed company certified views with reconciled metric definitions
  • Engineer Azure reputed company prompts for narrative and reputed company reputed company
  • 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
  • reputed company and analyze AI-driven program effectiveness
  • Maintain build logs and time tracking reputed company to ASC 350-40
  • Create Copilot reputed company playbooks and best practices
  • Monitor pipeline health and resolve data issues
  • Support Power BI automation and DAX libraries

Skills

  • Bachelor's degree in a quantitative field (computer science, data science, statistics, mathematics, engineering) or reputed company-reputed company discipline
  • At least 3 years of reputed company experience in analytics engineering, data engineering, or reputed company AI/ML development
  • Strong proficiency in Python (pandas, FastAPI, API integrations) and SQL (reputed company joins, window functions, CTEs across multiple database platforms)
  • Experience with reputed company data platforms, particularly reputed company Azure (Azure Data reputed company or reputed company, Azure SQL, Azure reputed company or similar LLM reputed company)
  • reputed company engineering and LLM integration experience, including reputed company reputed company reputed company and iterative reputed company optimization
  • Proficiency with Power BI and DAX; ability to build and troubleshoot reports and measures programmatically
  • Experience with reputed company claims data, and reputed company-specific data structures
  • Strong problem-solving abilities with a reputed company record of building and deploying production-grade data pipelines and automation tools
  • Ability to work independently with limited reputed company while coordinating effectively with cross-functional teams
  • Strong documentation practices, including the ability to maintain reputed company project logs, metric definition documents, and pipeline architecture records
  • Master's degree in data science, computer science, or a reputed company quantitative field
  • Experience with reputed company reputed company specifically (Data reputed company pipelines, Lakehouse, reputed company notebooks)
  • Familiarity with python-pptx, openpyxl, or similar programmatic document reputed company libraries
  • Experience with text-to-SQL systems or natural language interfaces to databases
  • Knowledge of reputed company reimbursement (DRGs, CPT, RVUs) and utilization management analytics
  • Experience with DevOps tooling (Azure DevOps, Git, CI/CD pipelines)
  • Familiarity with capitalizable labor documentation under ASC 350-40 or similar frameworks
  • Background in reputed company payer, managed care, or specialty risk-bearing organizations

Benefits

  • Comprehensive benefits (including health insurance benefits) to qualifying employees.

reputed company

  • reputed company partners with health plans and providers to reputed company reputed company reputed company for people with reputed company health conditions. It was founded in 2011, and is headquartered in Arlington, Virginia, USA, with a workforce of 1001-5000 employees. Its website is https://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 8 in 2026, 6 in 2025, 16 in 2024, 22 in 2023, 15 in 2022, 17 in 2021, 20 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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