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

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.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

Design, build, and maintain scalable data pipelines and data warehouse solutions on Azure. Perform source data analysis, profiling, ETL development with PySpark, support migrations from on-prem to cloud, troubleshoot production issues, collaborate in Agile teams, and contribute to ML/Generative AI initiatives and Power Apps development.

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.

Analyze and optimize a consumer credit card portfolio through lifecycle analytics, marketing measurement, dashboard development, and cross-functional collaboration to drive acquisition, engagement, retention, and profitability.

Provide day-to-day support for data operations: triage and resolve ServiceNow data tickets, investigate discrepancies, validate data, monitor pipelines, assist Data Engineering with operational ETL tasks, SFTP workflows, and documentation, and coordinate with business teams to ensure data quality and timely issue resolution.

Lead client analytics engagements end-to-end, manage delivery timelines and economics, mentor data teams, design KPIs and business cases, translate complex data into actionable insights, implement cloud data platforms, BI, ETL and scripting solutions, and run workshops and knowledge transfer for non-technical stakeholders.

The Lead Data Engineer will architect and develop reporting solutions, integrate AI, analyze complex datasets, and mentor team members to enhance data-driven decision-making.