Top Data & Analytics Jobs in Minneapolis, MN

Serve as an individual-contributor actuarial analytics partner to brokers and clients, build complex risk and pricing models, assess reinsurance impacts, communicate insights, and modernize workflows using AI and modern tooling for scalable, repeatable analyses.

Analyze and interpret customer and business data using aggregation, statistical analysis, and data mining. Perform ETL: extract, cleanse, standardize customer data from ERP systems and load into Salesforce. Work with clients and project leads to identify analytical requirements and maintain business solutions under general supervision.

Design, develop, and optimize databases, complex queries, indexes, stored procedures, and ETL processes (SSIS). Create reports (SSRS), tune performance, and collaborate with application developers to deliver robust data solutions.

Combined Business Analyst and QA lead role in an agile team for data warehouse/ETL projects. Lead QA team, write user stories, create test strategy and test data, execute tests, perform complex SQL queries, Big Data testing (Hive/Talend/Pig or Informatica/SAS/DataStage), Unix/shell scripting, and coordinate onshore/offshore efforts. Healthcare experience required.

Design and architect data models and ETL/ELT frameworks using Informatica. Develop and troubleshoot integrations on Unix/Linux, engage business stakeholders, and apply payments domain expertise in a global delivery environment.

Architect and administer Big Data ETL platforms (Talend/Hadoop ecosystem). Install/support Talend for Big Data, perform capacity planning, troubleshoot performance across Hadoop/Hive/HBase/Pig/Spark, provide on-call and war-room support, and work with UNIX, SQL and scheduling tools.

Deliver geospatial solutions including data management, spatial analysis, cartography, web app publishing, and automation. Collaborate with project teams, estimate effort, engage clients, and support asset management and GIS system integrations.

Lead analytics, reporting, and data warehouse strategy for Respiratory Health. Build KPI frameworks, oversee data governance and quality, translate business needs into scalable data solutions, drive advanced analytics/AI initiatives, and manage a high-performing BI and data enablement team while partnering with IT, Finance, and Operations.

Build and maintain retailer-specific planograms using Blue Yonder and space-planning tools, analyze syndicated data (Circana/IRI/Nielsen/SPINS) to inform shelving strategy, manage asset and item libraries, support distribution tracking and presentation materials, and maintain version control and documentation under Sr. Manager direction.

Design, build, and maintain Microsoft Fabric-based enterprise data warehouse, ETL/ELT pipelines, and integrations. Ensure data quality, governance, and performant BI datasets while partnering with stakeholders and BI/Power BI teams. Provide technical leadership, troubleshoot pipelines, and recommend platform improvements.