Top Data & Analytics Jobs in Minneapolis, MN

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Lead BI initiatives and client accounts to deliver strategic insights. Design and implement BI and cloud analytics solutions, validate data integrity and compliance, optimize data utilization, mentor teams, manage project planning/budgeting, and drive continuous improvement.

Lead data-driven initiatives and develop business intelligence and cloud analytics solutions to drive client decision-making. Manage and mentor analytics teams, own project planning/budgeting/execution, analyze complex data systems, and uphold professional standards while encouraging innovation and continuous improvement.

Lead design and governance of a unified healthcare data platform for risk adjustment and quality. Architect data models, ingestion patterns (X12, HL7, FHIR), pipelines, identity resolution, and controls to support HEDIS/Stars/NCQA, RADV/audit readiness, and analytics. Partner with business, engineering, and security teams and mentor senior engineers.

Design, develop, test, and maintain scalable big data solutions. Lead and mentor engineers, build integrations and APIs, evaluate new tools, participate in design/code reviews, estimate development effort, provide documentation and production support, and work within Agile teams to improve the enterprise big data platform.

Partner with Account Management to deliver data-driven planning, whitespace and pipeline models, revenue and budget reporting, rep-level analytics, and forecast improvements. Validate Salesforce data, reconcile budgets and forecasts, measure campaign and pipeline outcomes, and provide executive-ready insights and budget recommendations to improve deal outcomes and guide resource allocation.

Lead analytics owner for Financial Crimes Operations (FCO) DAR, delivering end-to-end data solutions and maintaining current reporting while enabling next-generation analytics, AI-driven automation, and compliance. Advise stakeholders, translate complex data into executive insights, manage projects/budgets/forecasts, mentor staff, and drive operational improvements across cross-functional teams.

Lead data management and governance initiatives: define standards, policies, and lifecycle practices; drive data quality, stewardship, compliance and MDM efforts; develop training and data models; and advise on risk mitigation and operational improvements across the organization.

Lead configuration management analytics by architecting solutions, automating data collection, and ensuring data integrity. Mine and model data from Oracle, Windchill, and TIPQA, apply statistical methods, build Power BI visualizations, and recommend process improvements using RCCA and Lean to improve workflow efficiency and stakeholder decision-making.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

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.

Lead complex healthcare data analysis and profiling across disparate sources to create source-to-target mappings, rewrite/redirect BI reports and semantic data views, gather and document business/technical requirements, and lead the work unit to ensure transformed reports meet business needs.

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.

Design, develop, and maintain ETL processes using Informatica and Oracle for DW/BI projects. Perform SQL/PLSQL development, query tuning, and implement ETL/ELT frameworks. Troubleshoot, optimize, and collaborate with stakeholders in a global delivery environment, with emphasis on financial domain experience.

Design and architect data models and ETL/ELT frameworks using Informatica. Develop and troubleshoot integrations on Unix/Linux, interact with business users, and support BI stakeholders in the Cards & Payments domain.

Design and architect data models and ETL/ELT frameworks using Informatica. Develop and troubleshoot data integration, work with Unix/Linux and shell scripting, engage business users, and deliver solutions in a global delivery environment within the Cards and Payments domain.