Top Analytics Jobs in Minneapolis, MN

As an Analytics Product Engineer, you will lead product strategy for data products, design scalable data models, and develop transformation pipelines while collaborating with stakeholders and improving analytics capabilities.

The role involves leading actuarial and analytics initiatives for Personal Insurance pricing, managing teams, performing quantitative analyses, and communicating insights to stakeholders.

The role involves data analytics supporting legal and regulatory initiatives, focusing on AI, machine learning, and data-driven insights through statistical analysis and data visualization.

The Director Analyst will oversee the procure to pay lifecycle, master data management, and procurement data analytics, ensuring integrity and optimizing operations.

Lead the Retention Analytics team by providing insights into subscriber journeys, data analysis for retention strategies, and managing a team of analysts.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.

The Senior Director will establish and lead the Real-World Data & Analytics group, oversee RWD strategy, engage in complex analytics projects, and build a high-performing team in the oncology domain.

The Senior Analytics Engineer will build data models and dashboards, ensuring data quality and governance, while collaborating with teams to answer business questions and improve resident engagement.

As an Analyst in the Insights and Analytics team, you will analyze data to boost audience understanding, enhance revenue strategies, and support sales initiatives through actionable insights.

Responsible for catastrophe loss estimates and analytical toolkit enhancement. Collaborates with various teams, manages project execution and staff development, and performs complex actuarial analyses.

As an Analytics Engineer, you'll own analytics solutions from data architecture to visualization, ensuring streamlined insights for business stakeholders.

The Director of Data & Analytics Engineering will lead and build data platform teams, manage architecture and strategy for data systems, and integrate AI in workflows, ensuring reliable, agile data solutions meet business needs.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Drive go-to-market revenue analytics and strategy by building forecasts, dashboards, and ad-hoc analyses. Partner with Sales, Sales Ops, and Finance to set targets, quota, and deliver actionable recommendations to executive leadership.

As an Analytics Engineer at Axios, you'll design and maintain data products and visualizations, improving decision-making through actionable insights.

The Director of Data Analytics will lead a team focused on data metrics, especially ARR, and oversee the execution of data initiatives across the organization.

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.

This leadership role involves managing actuarial and analytics activities, leading strategic initiatives, driving innovation, and overseeing a team responsible for CMP line management and data modernization.

The Data & Analytics Support Analyst manages Power BI applications, supports SQL troubleshooting, optimizes reporting, and engages with internal stakeholders for data insights and governance.

The Actuary analyzes financial and economic data for strategic decisions, ensures data integrity, collaborates with stakeholders, and evaluates market trends.

Manage a team of analysts to develop data-based solutions and tools in reporting and analytics to improve patient outcomes and drive business efficiency in healthcare.

As a Senior Analytics Engineer, you will develop and maintain Looker semantic layers, design BI models, and ensure data quality for business reporting.

The Principal Technical Consultant will lead the design and implementation of complex data solutions, mentor junior staff, and engage directly with clients, requiring a strong background in cloud and open-source technologies as well as project leadership skills.