Senior Analyst, AI Transformation

This is a fully remote position, open to applicants in United States.

📋 Description

• The Senior Analyst, AI Transformation is an active contributor who creates and implements AI-driven analytics workflows.

• This position combines analytics engineering, automation, and practical AI application.

• The individual will be directly involved in the technical execution of transformation projects.

• Develop Microsoft Fabric pipelines and integrated Lakehouse models.

• Create certified views with aligned metric definitions.

• Engineer prompts for Azure OpenAI to facilitate narrative and insight generation.

• Construct Python-based automation for reporting and compliance workflows.

• Assist self-service analytics platforms with text-to-SQL and routing logic.

• Execute automated compliance and validation checks.

• Develop signal detection and alerting pipelines.

• Monitor and evaluate the effectiveness of AI-driven programs.

• Maintain build logs and time tracking in accordance with ASC 350-40.

• Compose Copilot prompt playbooks and best practices.

• Oversee pipeline health and troubleshoot data issues.

• Support Power BI automation and DAX libraries.

⛳️ Requirements

• Bachelor’s degree in a quantitative discipline (such as computer science, data science, statistics, mathematics, engineering) or a healthcare-related field.

• A minimum of 3 years of experience in analytics engineering, data engineering, or applied AI/ML development.

• Strong skills in Python (including pandas, FastAPI, API integrations) and SQL (complex joins, window functions, CTEs across various database platforms).

• Familiarity with cloud data platforms, especially Microsoft Azure (including Azure Data Factory or Fabric, Azure SQL, Azure OpenAI or similar LLM APIs).

• Experience in prompt engineering and LLM integration, with a focus on structured output generation and iterative prompt refinement.

• Proficient in Power BI and DAX; capable of building and troubleshooting reports and measures programmatically.

• Background in healthcare claims data and healthcare-specific data structures.

• Strong problem-solving skills, with a proven ability to build and deploy production-grade data pipelines and automation solutions.

• Capability to work autonomously with minimal supervision while effectively coordinating with cross-functional teams.

• Excellent documentation skills, including the ability to maintain clear project logs, metric definition documents, and pipeline architecture records.

🏝️ Benefits

• Health insurance benefits.