Top Analytics Jobs in Minneapolis, MN

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of product analytics data scientists to deliver timely, accurate quantitative insights for product strategy, experimentation, and measurement. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve experimentation and reporting practices to inform decisions across the Foundation and movement.

As a Data Engineer II, you will build complex data solutions, ensure data quality, collaborate with teams, and lead projects to enhance analytics capabilities.

Hands-on technical lead designing and delivering secure, scalable Azure analytics solutions. Lead solution architecture, guide implementation, mentor engineers, advise on Power BI architecture and governance, and support delivery, consulting, and reuseable asset creation.

The Director of Analytics will lead the analytics strategy and operations for a top-grossing mobile app, driving data-driven decision-making and insights.

Design, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

The Director, Data Analytics will lead the team in developing data strategies, managing projects, and ensuring quality insights to drive business goals.

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.

The HR Data & Analytics Advisor will deliver actionable HR metrics, conduct analytics, develop dashboards, and improve HR analytics tools.

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.

The Analytics Manager, GTM at Docker will develop and manage dashboards for the Sales team, leveraging SQL and data to drive pipeline generation through actionable insights, while ensuring data accuracy and usability.

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.