Top Senior Analysis Reporting Jobs in Minneapolis, MN

Lead a Planning & Analytics team for Midwest retail accounts (Target, Best Buy, Kohl's), deliver insights from POS and syndicated data, pressure-test forecasts, build dashboards, drive promotional and pricing analysis, collaborate with cross-functional teams, and present recommendations to senior leadership to grow market share.

The Senior Manager Data Scientist leads analytics teams, manages multi-functional projects, ensures data integrity, and collaborates with stakeholders to improve HEDIS/Star performance metrics.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

This role analyzes data and generates insights regarding law firm spending and performance. Responsibilities include reporting, stakeholder management, and process improvement.

Design, implement, administer, and tune complex databases; ensure availability, backup/recovery and security; perform data modeling and analysis; lead Jira and Confluence administration and integrations; support cross-functional teams and data governance.

The Analytics Manager leads analytics and business intelligence projects, mentors teams, collaborates with stakeholders, and drives data strategy for clients.

The Senior Analyst analyzes marketing performance, develops target segments, conducts data analysis, and creates reports to drive marketing strategies and business decisions.

The Senior Business Analyst will perform data mining and analysis, conduct root cause analysis, deliver test plans, and create application workflow models. Required to work with SQL and IBM technologies.

The role involves enhancing and maintaining an interagency data warehouse, managing data logistics, conducting data profiling, defining data linking rules, and developing database architecture.

Manage sales and financial performance analytics, reporting, and insights for the Partner business line, identifying trends and supporting decision-making.