Top Hybrid Data & Analytics Jobs in Minneapolis–Saint Paul, MN

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

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.

Collect, process, and analyze complex datasets; build automated reporting, dashboards, and visualizations; perform statistical analyses; validate data quality; partner with stakeholders and engineering teams to deliver actionable insights and improve reporting processes.

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.

Collect, clean, normalize, and analyze complex datasets; develop data collection systems; maintain databases; create queries, views, and reports; generate ongoing reports and identify process improvement opportunities.

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.

The Senior Data and Solutions Engineer develops data pipelines, manages analytics frameworks, and collaborates with stakeholders to improve data quality and reporting consistency.

Analyze and optimize a consumer credit card portfolio across the customer lifecycle. Produce marketing and portfolio insights, run A/B and segmentation analyses, build dashboards and BI reporting, ensure data integrity, and partner cross-functionally to drive portfolio growth, performance, and governance.

Analyze quantitative and qualitative datasets to measure product and business performance, build regular analytical deliverables, design and execute analyses, ensure data quality, and communicate clear, actionable insights to technical and non-technical stakeholders to inform product and business decisions.