Top Analysis Reporting Jobs in Minneapolis, MN

Improves insurance agency performance through business intelligence, operational analysis, workflow redesign, carrier-performance reporting, and strategic project support. Develops dashboards and scorecards, analyzes revenue, retention, profitability, capacity, and carrier results, identifies automation opportunities, and supports cross-functional technology and operating-model initiatives. The role also defines requirements, controls, risks, success measures, and post-implementation reviews while translating complex data into actionable recommendations.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

Lead the target-state architecture for an enterprise data platform covering ingestion, storage, processing, governance, security, and consumption. Design lakehouse, warehouse, and streaming architectures; establish data modeling, lifecycle, quality, and data product standards; and guide platform integrations, disaster recovery, cost optimization, and high availability. Partner with engineering, analytics, ML, product, and business teams while leading architecture reviews, mentoring technical staff, and producing architecture documentation.

Develop and deploy analytics solutions for the Commercial HVAC business. Build and maintain Tableau or Power BI dashboards, combine and transform datasets, deliver self-service analytics, manage deployments and training, establish standards, and present insights to leadership. The role requires collaboration with stakeholders, strong analytical and visualization skills, SQL and cloud experience, and the ability to manage concurrent projects.

Technical lead for Finance Technology data engineering: design and build scalable batch and real-time data pipelines (Hadoop/Spark/PySpark/Scala/Java), optimize data models and APIs, drive cloud-based data architecture (AWS/GCP/Azure), enforce governance/security, and mentor engineers to deliver enterprise financial data services.

Leads statistical consulting, experimental design, data analysis, and machine learning modeling for product development, quality, nutrition, consumer research, and scientific initiatives. Translates complex analyses into actionable business insights, builds cloud-based analytics solutions using Python and R, and mentors statisticians globally. Collaborates with R&D teams and stakeholders to solve technical and business problems using statistical methods, modeling, and data pipelines.

Nine-week hybrid technical internship supporting data analytics, business intelligence, product management, software engineering, automation, and technology operations. Interns may develop and maintain reports, dashboards, data models, or product features; assist with automation and process improvement; perform data validation and analysis; document technical processes; collaborate with technical teams; and present project findings. Applicants must be enrolled college students, available for at least eight weeks, and able to work in the office at least three days per week.

Build and operationalize data solutions, pipelines, transformations, and quality processes supporting insurance pricing analytics. Analyze data sources, implement governance and security practices, test data movement, resolve defects, and collaborate with actuarial, data science, engineering, product, and business teams. The role also involves designing scalable cloud-based solutions, applying modern software engineering practices, and mentoring engineers.

Builds and maintains data pipelines, dashboards, reports, and data integrations across ERP, WMS, e-commerce, sales, inventory, and vendor systems. The role uses SQL and BI tools to support pricing, purchasing, rebate reconciliation, inventory analysis, branch performance, and operational efficiency. Responsibilities include monitoring data integrity, troubleshooting ERP and EDI discrepancies, documenting business rules, supporting compliance reporting, and training branch and sales staff on self-service analytics.

Designs and governs enterprise data architecture across Azure, Microsoft Fabric, OneLake, Dynamics 365 F&O, and Dataverse. Establishes architecture standards, patterns, governance, data modeling, integration, metadata, lineage, data quality, and master data practices. Defines current, transition, and future-state architectures; guides implementation with engineering teams; evaluates technologies; resolves complex technical issues; mentors engineers; and reduces technology complexity and technical debt.