Partner closely with business stakeholders and develop AI-powered analytics solutions and intelligent tools that deliver actionable insights to business users.
Design and build dynamic dashboards and decision-support applications using Power BI and Power Platform
Leverage LLMs and AI agents to synthesize structured and unstructured data into context-rich insights.
Utilize Azure AI Foundry, Fabric, and Snowflake to enable advanced analytics and AI use cases
Implement Model Context Protocol (MCP)-based approaches to enable more accurate, explainable, and scalable AI-driven outcomes
Translate complex healthcare datasets into clear business narratives to support commercial strategy, growth initiatives, and operational performance.
Identify opportunities to automate insights generation through AI-enabled workflows and intelligent agents.
Ensure alignment with healthcare KPIs, including performance tracking across IDNs, facilities, and commercial segments

Bachelor’s Degree and seven (7) years of experience in a data analytics role OR High school/ GED and 11 years of experience in a data analytics role
Four (4) Years experience working with SQL, data analysis, AI/ML concepts and BI tools
One (1) year Hands-on experience with building effective AI agents and application of AI in business use cases.
One (1) Year of Hands-on experience with modern cloud data platforms (Azure, AWS, Fabric, Snowflake, etc.)
Three (3) years experience translating data into business insights and executive-ready storytelling
Power BI PL-300 Certification preferred
Hands-on experience with implementing Model Context Protocol (MCP) -based approaches to achieve scalable outcomes.
Experience working with healthcare data and KPIs (e.g., hospitals, IDNs, commercial analytics)

Senior Data Analyst – AI & Automation

Key skills