• Support end-user engagement processes such as assisting credit unions and internal users in the creation of reports. • Research data questions/issues and reporting solutions back to the BI Analysts when a defect is found, or improvement is needed. • Design and develop new reports to solve complex business problems. • Create and maintain educational assets and training materials. • Facilitate internal and external training classes. • Champion and promote analytic tools, methods and conceptual approaches by demonstrating paths to improved business intelligence, and decision making. • Define and execute within product lifecycle and iterative design processes for new work products (reports, educational assets, engagement techniques). • Participate in formal projects to produce project definition/initiation document clearly defining scope and project objectives; elicit, document and prioritize business requirements, understand business risks, and transition from requirements to solutions and business implementation principles. • Collect, evaluate and compress data and information from various sources, elicit actual user needs, and document a new concept or remediation plan. • Develop use cases and execute test scripts for user acceptance testing processes. • Identify, develop and support business implementation and readiness tasks, mitigating risk and remediating end-user adoption hurdles. • Perform other duties as assigned.

• Aggregate and clean datasets from multiple sources (interviews, surveys, public datasets, tourism metrics) • Develop dashboards and visualizations using tools such as: - Power BI - Tableau - Looker Studio • Translate qualitative interview data into structured insights and themes • Support development of: - Regional economic profiles - Tourism and recreation impact summaries - Data visuals for reports, media, and presentations • Collaborate with media and storytelling teams to align data insights with narrative outputs • Assist in compiling the final Economic Insights Report • Organize and document datasets for future partner use

Role Description Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. - Lead the design, development, and implementation of enterprise-grade data and AI solutions, including the use of Large Language Models (LLMs) to automate data ingestion, transformation, and real-time streaming workflows. - Act as a senior technical consultant, partnering with business stakeholders to translate ambiguous or undefined requirements into clear data strategies, architectures, and implementation plans. - Implement and integrate agentic frameworks to enable autonomous decision-making workflows. - Architect, build, and optimize scalable data pipelines and intelligent workflows using Python, PySpark, SQL, and cloud-native technologies. - Develop, refine, and govern prompt engineering strategies and agentic AI frameworks to support autonomous and decision-oriented data workflows. - Create and maintain detailed data specifications, mappings, and transformation logic to standardize disparate healthcare and insurance datasets into common, governed structures. - Perform in-depth data analysis to identify data quality, logic, and mapping issues; determine root causes and drive resolution through structured, consultative problem-solving. - Provide subject-matter expertise in healthcare and claims data, supporting issue documentation, stakeholder reviews, and iterative resolution within an agile delivery framework. - Ensure all solutions align with healthcare data standards, regulatory requirements, data governance policies, and Responsible AI principles. - Contribute to the evaluation, testing, validation, and production deployment of data and AI solutions. - Mentor junior engineers and analysts, promoting best practices, technical rigor, and a culture of knowledge sharing and continuous improvement. - Operate with a high degree of autonomy and accountability, delivering solutions aligned with business priorities, timelines, and quality expectations. - Communicate complex technical and analytical concepts clearly and effectively to both technical and non-technical audiences, including senior leadership. Qualifications - High School Diploma/GED - 5+ years of Healthcare Insurance data analysis experience - 5+ years of proven solid experience in Python, PySpark, T-SQL, SQL, Snowflake or Databrick technologies - 3+ years of hands-on experience in data engineering or backend automation - 3+ years of demonstrated experience with CI/CD pipelines - 2+ years of experience in any one cloud technologies: Azure (Databricks, ML Studio) or relevant experience in AWS or GCP - 1+ years of hands-on experience in building AI Agents or Agentic AI Systems integrating with Data Engineering Pipelines Requirements - Experience with ETL tools, workflow orchestration (Databrick Workflow, Lakeflow Spark Declarative Pipelines), and data warehousing (Snowflake) - GitHub Actions, and containerization tools (Docker) - Ability to work independently and mentor junior team members - Proven excellent problem-solving skills and adaptability in a fast-paced environment Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

• Analyzing requirements, gathering data, producing deliverables, and presenting findings using Solventum HIS methods and products for assigned clients. • Interpreting results, creating reports, and visualizing data for internal consultants and external clients. • Developing and managing code in SQL, Athena, R, Python, and other languages for data querying and statistical analysis. • Work with healthcare experts to develop logic and data-driven solutions that meet Solventum client goals.