Top Senior Analytics Jobs in Minneapolis, MN

The Manager I, Analytics will lead a team to enhance data models, ensure data quality, troubleshoot issues, and manage analytics workflows, impacting healthcare information delivery for beneficiaries.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

Lead analytics strategy and implementation for clients, transforming data into actionable insights while managing a team and advising on industry trends.

The Head of Data at BetterSleep will own the data function, manage a team, develop data infrastructure, and enhance analytics and measurement strategies to support product and growth initiatives.

The Senior Finance Analytics Engineer designs dbt models, collaborates on metrics with finance teams, and enhances data for AI consumption while maintaining SOX compliance.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

As a Senior Analytics Engineer, you'll design and manage data pipelines, develop reporting solutions, and provide actionable insights using data to improve healthcare delivery while collaborating across teams.

The Senior Manager, Analytics will lead quantitative analysis and data management initiatives in Corporate Development, focusing on mortgage servicing, valuation, and securitization, while promoting data-informed decision making.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

The VP of Reporting & Analytics leads the analytics function, developing strategies and insights for stakeholders, enhancing data literacy, and managing analytics teams while driving AI-enabled capabilities and BI infrastructure advancements.

The Manager, Analytics Services will lead a team to deliver high-quality analytics projects, manage client relationships, and integrate AI solutions in healthcare analytics, focusing on business growth and client satisfaction.

As an Analytics Engineer, transform raw data into metrics, manage data pipelines, ensure data integrity, and collaborate with teams for analytics solutions.

The Lead, Advanced Analytics, Acquisition will analyze data, define metrics, conduct A/B tests, and collaborate with teams to drive growth and insights.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

The Sales Analytics Manager will oversee sales analytics, implement AI-driven reporting solutions, and partner with various teams to enhance data governance and performance forecasting.

The Manager, RCM Strategy & Analytics oversees analytics and insights for Revenue Cycle Management, collaborating to improve performance through data interpretation and visualization.

Lead the data analytics team at Solace, managing analysts, driving product strategy, and executing high-impact analytics while establishing best practices in data analytics.

As a Senior Analytics Engineer, you will design the financial data backbone, integrating ERP data, building profitability models, and enabling data-driven planning in collaboration with Finance and Operations.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

The Director of Growth Strategy & Analytics will lead analytics efforts, develop strategies for consumer engagement, and improve app experiences through data insights and collaboration with teams, utilizing AI tools for automation.