Top Senior Analysis Reporting Jobs in Minneapolis, MN

The Manager of Data Analytics leads a team of analysts, managing analytics delivery, providing guidance, and enhancing processes for improved operational insights.

Design, build, and maintain scalable batch and streaming data pipelines and data models using Python/PySpark, Snowflake, and cloud platforms. Optimize performance, implement orchestration (Airflow), enforce data governance/metadata standards, create data quality frameworks, support CI/CD and DevOps, monitor production pipelines, and collaborate with stakeholders to evolve the enterprise data platform.

Lead and develop a team delivering real estate planning analytics; set analytics roadmap; modernize tooling via automation and AI; build dashboards and forecasts to optimize portfolio, occupancy strategy, and workforce location planning.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Design and drive enterprise-scale, hybrid cloud data architectures; define patterns and reference architectures; modernize legacy systems; ensure security, scalability, resiliency, and cost-effectiveness; mentor teams and advise senior leadership; enable data integration for analytics and AI workloads.

Lead analytics for the Healthcare vertical by partnering with product, engineering, and operations to build and maintain analytics solutions, investigate data issues, ensure warehouse data quality, monitor customer behavior, and translate findings into actionable business insights.

Lead business operations analytics to build executive-ready reporting, dashboards, and data consolidations. Drive insights linking financial and performance data, coach analysts, recommend process and technology improvements, and support forecasting and operational execution.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

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 data management and governance initiatives: define standards, policies, and lifecycle practices; drive data quality, stewardship, compliance and MDM efforts; develop training and data models; and advise on risk mitigation and operational improvements across the organization.

Analyze multi-channel fraud trends, develop data-driven insights and recommendations to prevent and detect fraud, evaluate controls and authentication strategies, support testing and implementation of fraud controls, and present executive-ready analytics to inform enterprise fraud strategy and prioritization.

Partner with Consumer Banking and Growth Studio leaders to translate client feedback, research, analytics, and market intelligence into actionable insights. Design and execute CX measurement strategies, monitor experience metrics, identify pain points and opportunities across journeys, and evaluate solution effectiveness. Communicate findings through data visualization and executive storytelling, influence cross-functional stakeholders, and drive continuous improvement to improve client experience and business outcomes.

Translate financial, market, and operational data into executive-ready insights and recommendations. Build structured analyses to support strategic decisions, prepare executive materials, synthesize cross-functional insights, and use AI and analytics to improve speed and quality of business intelligence supporting leadership.

Ensure integrity, compliance, and accurate recording of gifts in Raiser's Edge; manage complex donations, pledges, and receipting. Build predictive giving reports and data models, perform data hygiene audits, deploy automation and AI integrations, and provide training and technical support across Advancement.