Top Senior Analytics Jobs in Minneapolis, MN

Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives.

Leads health policy research and analytics using claims, clinical, administrative, and public datasets. Manages university research partnerships from study design through publication, oversees governance and data strategy, performs statistical analysis, mentors analysts, and advises senior leaders on research opportunities and policy, business, and reputational impacts. Partners with communications and government affairs teams to disseminate findings to policymakers and external stakeholders.

Lead enterprise reporting and analytics initiatives across healthcare operations. Develop dashboards, scorecards, KPIs, data standards, analytical models, and executive insights using healthcare claims data. Reconcile data sources, identify anomalies and performance drivers, automate reporting, and translate business needs into scalable solutions. Serve as a reporting intelligence subject matter expert, collaborate with cross-functional stakeholders, influence strategic decisions, and mentor junior analysts.

Collects, processes, and analyzes complex datasets to produce actionable insights, automated reports, dashboards, and visualizations. Partners with cross-functional teams to ensure data accuracy, integrity, and effective decision-making. Performs statistical analysis, validates data, improves reporting processes, and coaches stakeholders on data consumption. Preferred experience includes applying AI tools, developing AI-enabled solutions, translating business needs into AI use cases, and following responsible AI practices.

Build and maintain production data pipelines, dbt models, Airflow workflows, and governed datasets supporting People Analytics. Integrate Workday and other HR systems into reliable Snowflake data products, implement data quality monitoring, row-level security, semantic models, and AI agents. Partner with engineers, analysts, data scientists, and business stakeholders to deliver trusted data solutions, communicate technical trade-offs, enforce governance, and mentor other engineers.

Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.

Leads and manages a business analyst team supporting a data platform. Partners with clients, product managers, engineers, and stakeholders to gather requirements, write user stories, perform data gap analyses and source-to-target mapping, validate data using SQL, and support data quality, lineage, QA, Agile delivery, change management, and documentation. Requires healthcare data expertise, people leadership, strong communication, and experience translating technical information for varied audiences.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Leads a team delivering real estate planning analytics, dashboards, reporting, and insights. Sets the analytics roadmap, modernizes technology through automation and AI, partners with executives and technical teams, and translates business needs into strategic recommendations. The role supports workplace portfolio decisions, occupancy strategy, and workforce location forecasting while requiring SQL, data warehouse, visualization, stakeholder management, and people leadership expertise.

Leads analytics initiatives supporting external health plan partnerships, including provider groups and employer partners. Oversees dashboards, financial, quality, and operational reporting; validates data accuracy; interprets trends; and delivers actionable recommendations. Directs analyst workflows, performs quality assurance, mentors team members, and communicates data-driven insights to external stakeholders. The role requires collaboration across business segments and supports continuous improvement of reporting processes and partner relationships.

Manage consumer insights and market research initiatives using quantitative and qualitative data. Analyze, validate, and communicate research findings through statistical and graphic reports, translating results into business recommendations. Ensure compliance with market research policies, collaborate across departments, and identify consumer trends and leverage points. Partner with senior leaders on operating plans and budgets while supporting marketing systems, processes, and business-unit priorities.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Build and govern trusted Power BI and Microsoft Fabric reporting products for Microsoft business acceleration. Define KPI frameworks, semantic models, dashboards, data governance, lineage, row-level security, and executive scorecards. Reconcile metrics to authoritative systems and analyze pipeline, revenue, adoption, and utilization trends. Automate recurring reporting and quarterly proof-of-execution evidence while delivering recommendations to leadership and portfolio stakeholders.

Designs, develops, and supports scalable data pipelines, ETL/ELT workflows, data lakes, warehouses, semantic layers, and analytics-ready data products. Applies DevOps, CI/CD, testing, security, access control, and operational standards to data platforms. Monitors data quality and platform performance, troubleshoots technical issues, and partners with analysts, product owners, architects, and business stakeholders to deliver reliable enterprise analytics solutions.

Architect and govern shared analytics infrastructure, data models, semantic layers, business metrics, and self-service BI capabilities. Establish standards for datasets, documentation, testing, and reporting tiers while partnering with Data Engineering, Data Science, Analytics, and business leaders. Own data and BI issues, optimize warehouse performance and costs, and coach practitioners on dimensional modeling and analytics practices.

Own the data layer for an AI-native retirement platform, including dbt models, marts, semantic layers, MCP connectors, data governance, product analytics, dashboards, and business metrics. Partner with engineering on warehouse architecture and data contracts while enabling teams and AI agents to securely access trusted data. Serve as the company’s primary data expert across product, servicing, go-to-market, and leadership functions.

Build scalable Python backend services, data pipelines, and analytics platforms supporting fraud attribute development, machine learning model development, deployment, and monitoring. Design maintainable production systems, implement CI/CD and infrastructure as code, manage AWS and on-premises environments, improve reliability and security, troubleshoot pipelines, and process large datasets for analytics and visualization.

Develops scalable analytics, dashboards, reporting, datasets, and decision-support solutions for Hub leadership. Translates ambiguous business questions into analytical approaches, KPIs, and actionable recommendations using SQL, Power BI, and Databricks. Supports data governance, stewardship, quality, definitions, documentation, and trusted data assets while partnering with Technology and business stakeholders to build future analytics capabilities.

Leads analytics for a designated sub-vertical, serving as the primary analytics partner to Sales and senior clients. Translates ambiguous business questions into actionable insights, manages analytic engagements, supports partner performance, and influences campaign strategy. Uses SQL, AI tools, and compelling storytelling to deliver analysis, QBR narratives, measurement frameworks, and recommendations. Represents analytics in cross-functional and external discussions while helping prioritize team capacity and evolve scalable analytic processes.

Leads the strategy, development, and delivery of client-facing reporting and analytics for life sciences clients. Builds Power BI dashboards, automated reporting, self-service analytics, KPI frameworks, and data governance standards. Translates commercial, medical, operational, claims, prescription, and client data into actionable insights. Partners with technical and business stakeholders, manages reporting priorities, vendors, budgets, and project delivery, and presents findings to executives and clients.

Leads technical operations for analytics and business intelligence systems. Designs architectures and solutions across data warehouses, BI tools, APIs, AWS, and Talend; oversees system changes, monitoring, security audits, and technical debt remediation. Collaborates across departments, implements coding standards, identifies downstream impacts, and mentors team members developing reporting applications.

Build and maintain scalable analytics data products using SQL, dbt, Snowflake, and dimensional modeling. Design trusted warehouse tables, semantic layers, metrics, dashboards, and self-service tools for BI, data science, machine learning, and AI use cases. Partner with stakeholders, optimize performance and costs, enforce data governance and privacy, improve data discovery and lineage, and mentor teammates through collaborative development and code reviews.

Owns sales and creator-commerce data end to end, building tested and documented dbt models, semantic-layer metrics, and Omni dashboards. Partners with Sales, RevOps, Product, and data engineering to model CRM, pipeline, funnel, commerce, and product-usage data. Establishes trusted metric definitions, improves self-service reporting, enables AI-assisted data querying, reviews code, documents decisions, and serves as the primary owner of Kit’s sales data domain.

Leads the analytics function, owning the roadmap, prioritization, team development, business intelligence standards, metrics governance, dashboards, and executive insights. Partners with business and technical stakeholders while guiding SQL, dbt, data modeling, testing, version control, and self-service analytics practices. Evaluates responsible AI applications for analytics development, reporting, data exploration, and quality checks.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.