Top Senior Analytics Jobs in Minneapolis, MN

The Actuarial Manager will lead a team in Medicare forecasting, utilize advanced data analytics tools, and provide insights to improve health outcomes.

The Associate Director will lead medical expense reporting, develop analytic methodologies, manage healthcare data analysis, and mentor junior analysts.

The Senior Consultant, Data Analytics & Reporting analyzes complex datasets, generates insights, builds reports and dashboards, and collaborates with teams to ensure data integrity.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

The Cloud FinOps Specialist analyzes and optimizes cloud costs, develops reporting pipelines, and collaborates with engineering teams to enhance cost efficiency and reliability.

Lead Circle's marketing analytics function by delivering AI-powered insights, managing data quality, and collaborating across teams to improve marketing performance and decision-making.

Lead the Supply Intelligence function, driving strategy, execution, and partnerships to optimize auction performance and revenue growth while coaching a team of analysts.

As the Senior Manager of Analytics Engineering, you'll lead a team to build data models, ensure data quality, and deliver impactful insights through analytics. You'll collaborate with various teams, utilize AI advancements, and drive decision-making by optimizing data solutions and tools.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

As a Senior Analytics Engineer, you will bridge data engineering and analytics, creating scalable data solutions while collaborating with stakeholders to drive data-driven decisions and improve business value.

The Senior Data & Analytics Consultant will lead data structuring, reporting, and analysis for the pet business, ensuring accurate reporting to meet business objectives.

The role involves partnering with finance leaders to provide analytical insights, designing frameworks, developing dashboards, and leading a high-performing analytics team while utilizing SQL and data visualization tools.

The role involves developing customer-facing reports, providing insights, managing analytics for health systems, and collaborating cross-functionally to enhance operational efficiency.

Drive analytical insights and strategies for borrower acquisition and retention, partner with various teams to enhance growth, and mentor junior analysts.

The VP, GTM Data & Product Analytics leads Sortly's analytics strategy to enhance growth, collaboration, and decision-making through data-driven insights and executive-level influence.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

The Senior Manager, People Insights & Analytics will develop analytics tools, build dashboards, conduct workforce analyses, and drive people strategies using data insights to improve talent management.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.

Lead product analytics function, manage a team of analysts, drive data-informed decisions, and partner with Product and Engineering teams.

The HRIS Reporting & Analytics Architect leads complex reporting and analytics projects, aligning data solutions with HR strategy, while ensuring data security and integrity.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

Lead a global team to deliver economic and industry analytics, support strategy development, and present insights to business leadership.

Oversee the data and analytics function, leading teams to develop data products and strategize data-driven decisions. Manage projects and resources for achieving business objectives.