Top Data & Analytics Jobs in Minneapolis, MN

Lead and manage delivery of modern data ecosystems and managed data analytics programs. Oversee project planning, budgeting, quality, and client accounts. Mentor teams, drive data strategy, convert insights to business opportunities, and ensure standards and risk management across large transformations.

Design, develop, and maintain scalable batch and streaming data pipelines using Python, PySpark, SQL, Databricks, Kafka, and Azure services. Provide production support, incident resolution, vulnerability remediation, platform upgrades, and reliability improvements. Optimize data models and workloads, implement automation and AI-enabled solutions, support CI/CD and monitoring, and ensure security, governance, and healthcare privacy compliance. Collaborate with business and technology partners on enterprise data solutions.

Designs, builds, and maintains scalable data systems, streaming and batch pipelines, data infrastructure, data models, and deployment pipelines. Develops data products using cloud-based technologies, optimizes existing architectures, improves data formats and accessibility, and collaborates with analytics teams and stakeholders to deliver reliable solutions for reporting and decision-making.

Lead benefits and healthcare cost analytics to inform strategy and optimize programs. Build scalable dashboards, models, and reports (SQL, BI tools, Excel), partner with HR/Finance/Risk, ensure data governance, and translate insights into business recommendations.

Design, build, and maintain scalable ETL/ELT pipelines and data warehouse architecture. Partner with cross-functional teams to define KPIs, ensure data quality and governance, own billing data infrastructure, and deliver dashboards and analytics for leadership while mentoring peers.

Design, build, and maintain scalable cloud-based ETL/ELT data pipelines and integrations for enterprise analytics using Python, SQL, and distributed processing (Spark) on AWS. Collaborate with analysts and engineering teams, participate in architecture and Agile ceremonies, troubleshoot production issues, and support testing, deployment, and ongoing maintenance.

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.

Own sales forecasting and pipeline reporting on the Anaplan platform. Partner with Field Operations and cross-functional teams to deliver actionable reporting for forecasting, pipeline management, account planning, territory oversight, strategic initiatives, and performance tracking. Ensure data accuracy across systems, translate business requirements into technical reporting solutions, coordinate priorities across teams, and communicate reporting changes to stakeholders.

Mobile Analyst role requiring 6+ years experience. Candidate must have strong SQL skills and experience with DOMO, Snowflake, and Adobe Analytics (or similar). Position is located in Shakopee, MN, 12+ month duration, and restricted to U.S. citizens/local candidates.

Maintain and improve the ServiceNow CMDB by managing CI classes, remediating data quality issues, validating Discovery data, managing relationships, and supporting governance. Analyze configuration data, develop health dashboards and metrics, document processes, assist audit readiness, and collaborate with engineering, infrastructure, application, and asset management teams. The role also supports Agile platform enhancement initiatives and continuous improvement of CMDB operations.

Analyze VoC, customer and operational data to identify trends and root causes, quantify business impact, and deliver executive-ready insights and recommendations to improve payments customer experience and operations.

Partner with the Chief Administrative Officer to analyze financial, market, and operational data, produce executive-ready presentations and storylines, identify trends and risks, and recommend actions. Drive governance, reporting, and operational effectiveness using analytics and AI to support strategic decisions and improve speed, quality, and insights across product and practice leaders.