Data Intelligence Analyst

Solventum

Data Intelligence Analyst building Power BI, cloud data, and AI/ML solutions for Solventum’s healthcare business. Improving data governance, pipelines, and self-service analytics for Healthcare and Regulatory operations.

Posted 8/4/2026full-timeRemote • Minnesota • 🇺🇸 United StatesSeniorLead💰 $107,600 - $147,950 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying scalable Power BI dashboards and data solutions, leveraging advanced analytics and AI/ML capabilities. Proficient in data governance, quality assessments, and integration of enterprise systems to drive actionable insights in healthcare and regulatory operations.

Highest-signal resume keywords

Power BI Dashboard DesignSQL Data ManipulationCloud Data Solutions ArchitectureAI/ML IntegrationData Governance and Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power BISQLPythonPandasPySparkDataflows Gen2Direct LakeDAXData ModelingPredictive Analytics

Soft Skills

Actionable Insights DeliveryCollaboration with LeadershipTraining and Promotion of Data Literacy

Tools & Technologies

SnowflakeAzure SynapseMicrosoft FabricDatabricksSalesforceSAPAzure OpenAIAWS Bedrock

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in a Quantitative Field

Industry Keywords

Data AnalyticsBusiness IntelligenceData EngineeringData ScienceHealthcare OperationsRegulatory Compliance

Tech Stack

Tools & technologies

AWSAzureCloudPandasPySparkPythonSQL

About the role

Key responsibilities & impact

Design, develop, and deploy scalable Power BI dashboards and semantic models using Fabric-enabled features, Dataflows Gen2, Direct Lake, and AI visuals
Provide actionable insights to leadership
Develop and optimize data pipelines using SQL, Python, Pandas, PySpark, and modern scripting frameworks
Architect and manage cloud data solutions using Snowflake, Azure Synapse, Microsoft Fabric, or Databricks
Build and integrate AI/ML-driven insights, including predictive analytics, anomaly detection, NLQ, Copilot-enabled analytics, and generative AI use cases
Design and consume APIs and JSON-based data pipelines integrating enterprise systems such as Salesforce, SAP, and external regulatory platforms
Conduct data quality and governance assessments and resolve gaps with Quality, Regulatory, IT, and Data Governance teams
Partner with business, Master Data, and digital transformation teams to define data products, KPIs, and AI-driven insights supporting Healthcare and Regulatory operations
Support data governance frameworks including metadata management, lineage tracking, and enterprise standards
Train users on Power BI, Copilot, and data tools and promote data literacy and responsible AI usage
Contribute to cloud and AI transformation initiatives, modern data platform migrations, AI agents, and Azure AI Foundry or AWS Bedrock integrations
Comply with corporate policies, procedures, and security standards

Requirements

What you’ll need

Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field from an accredited institution
Seven years of experience in data analytics, business intelligence, data engineering, or data science roles
Demonstrated impact delivering data-driven insights
Hands-on experience with Power BI, including DAX, data modeling, and dashboard design
Experience with Power BI Fabric, Copilot, or embedded analytics is a plus
Experience with Snowflake, Databricks, Azure Synapse, or Microsoft Fabric, including data ingestion and transformation
Proficiency in SQL and at least one programming language; Python preferred
Experience with Pandas or PySpark for data manipulation, automation, and analysis
Master’s degree in a quantitative field is an additional qualification
Exposure to API integrations and JSON-based data processing
Familiarity with AI/ML and generative AI concepts and tools such as Azure OpenAI or AWS Bedrock
Understanding of data governance, data quality, and metadata management
Experience conducting large-scale, complex data analysis for strategic decision-making and operational improvements
Experience in data mining, data transformation, and feature engineering using Python, Pandas, PySpark, or R
Experience with streaming or near real-time data pipelines and scalable data processing frameworks is a plus
Working knowledge of machine learning and AI workflows, including predictive models, anomaly detection, or NLP
Familiarity with generative AI and LLM-based solutions such as Azure OpenAI, AWS Bedrock, or LangChain is a strong plus
Experience with API integrations, JSON data structures, and interoperability across Salesforce, SAP, and other enterprise platforms
Must be legally authorized to work in the country of employment without sponsorship for employment visa status

Benefits

Comp & perks

Medical, Dental & Vision
Health Savings Accounts
Health Care & Dependent Care Flexible Spending Accounts
Disability Benefits
Life Insurance
Voluntary Benefits
Paid Absences
Retirement Benefits
Remote work arrangement
Up to 10% domestic/international travel opportunity