Top Remote Analysis Reporting Jobs in Minneapolis, MN

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Leads global people analytics, HCM reporting, and U.S. compliance reporting using Workday and PeopleSoft. Develops reporting solutions, gathers requirements, manages testing, troubleshoots integrations and workflows, maintains data mappings, and supports data audits. Partners with HR stakeholders on projects, ad hoc requests, privacy reviews, documentation, and training. Oversees reports including EEO, AAP, VETS-4212, California pay data, and other regulatory submissions while improving enterprise reporting processes.

Leads sales data capabilities for major retail customers including Walmart, Amazon, and Costco. Owns customer-facing BI products, reporting, scorecards, automation, and AI-enabled solutions. Translates customer, digital, and market data into actionable business insights, improves data governance and quality, and supports scalable cross-customer initiatives. Requires ETL, SQL, retailer data, and BI expertise, with collaboration across customer, category, and sales teams.

Build and maintain Power BI dashboards, reports, data models, pipelines, ETL/ELT processes, and data warehouses. Develop advanced DAX and SQL solutions, optimize performance, implement security and governance, manage Fabric and Power BI deployments, and integrate diverse data sources. Translate business requirements into technical solutions while collaborating with end users on testing and implementation. The role also requires strong visualization, data quality, documentation, communication, and automation skills.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Manages a data engineering and integration team delivering scalable data solutions aligned with technology, security, governance, and compliance standards. Oversees architecture implementation, delivery planning, data quality, lineage, metadata, risk management, operational performance, and continuous improvement. Leads hiring, coaching, resource allocation, and performance management while partnering with business stakeholders, architects, application teams, analytics groups, vendors, and technology leadership.

Develops and optimizes enterprise database environments across SQL Server and Azure platforms. Responsibilities include query and execution-plan tuning, indexing, database design, monitoring, incident response, backup and recovery, high availability, security, compliance, capacity planning, automation, documentation, and collaboration with development and DBA teams. The role supports ETL/ELT, data warehouses, lakehouses, and large-scale datasets, participates in on-call support, and may travel up to 10%.