Senior Analyst, AI Transformation
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Job Description
Senior Analyst designing and deploying AI-enabled analytics workflows at a health-focused company. Building data pipelines and engineering prompts for AI solutions in healthcare analytics.
Responsibilities:
- The Senior Analyst, AI Transformation is a hands-on builder who designs and deploys AI-enabled analytics workflows.
- This role blends analytics engineering, automation, and practical AI implementation.
- This role works directly on the technical execution of transformation initiatives.
- 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:
- 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:
- health insurance benefits
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