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# Senior Data Analyst - AI & Automation

- **Company:** Solventum Corporation
- **Location:** Maplewood, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $107,600.0 - $147,950.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Machine Learning, Power BI, Standard Sql, Unstructured Data, Large Language Models, Snowflake, Build Management, Low Latency, Data Analytics, Data Management, GPT
- **Published:** August 1, 2026
- **Apply:** https://www.disabledperson.com/jobs/73945156-senior-data-analyst-ai-automation

## About the Role

* Bachelor's Degree and seven (7) years of experience in a data analytics role, * 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) yearHands-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 experience translating data into business insights and executive-ready storytelling

Additional qualifications that could help you succeed even further in this role include:

 * Power BI PL-300 Certification preferred
 * Hands-on experience with implementing Model Context Protocol (MCP)-based approaches to achieve scalable outcomes.
 * Hands-on experience with Azure AI Foundry or similar AI development platforms.
 * Evaluate and compare different AI models (Claude/GPT) to determine the best fit for specific use cases (e.g., reasoning tasks, summarization, automation, analytics). Select and apply models based on trade-offs across accuracy, latency, scalability, and cost.
 * Experience working with healthcare data and KPIs (e.g., hospitals, IDNs, commercial analytics)

## Description

* 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


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