Top Data & Analytics Jobs in Minneapolis, MN

Lead analytics and reporting for Service Operations, translating strategy into actionable dashboards, scorecards, and insights. Ensure data quality, automate reporting, partner across functions, and lead a team to drive performance, efficiency, and customer experience improvements.

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.

The Workers Compensation Pricing Analyst evaluates business submissions, analyzes risks for pricing, and collaborates with colleagues to ensure profitable business decisions.

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

Lead technical design and delivery of enterprise data warehouse and BI solutions. Own data architecture, complex ETL/ELT development, testing, performance tuning, and prototyping. Mentor teams, coordinate cross-functional resources and vendors, enforce best practices, and ensure data readiness and quality to enable analytics and business value.

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.

Provide data analytics support for construction scheduling and field operations: become SME on related datasets, build and maintain dashboards, validate and cleanse data, recommend process and tooling improvements, collaborate with business leaders and technology partners to deliver insights that inform operational decisions.

Responsible for managing clinical data through the study lifecycle, identifying data issues, and ensuring timely delivery of data management tasks.

Support business technology by developing Power BI dashboards, low-code Power Apps/Power Automate solutions, validating and analyzing data with SQL, improving data governance, participating in SDLC, providing user support and training, and automating business processes to increase efficiency and data accuracy.

The Business Analyst will support data management, client reporting, and sales processes, ensuring data integrity and resolving issues. Responsibilities include maintaining client relationship systems and performing reconciliations of systems.