Top Senior Analytics Jobs in Madison, WI

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.

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 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.

As a Staff Data Analyst, you'll lead credit analytics initiatives, mentor juniors, collaborate with cross-functional teams, and enhance Upstart's lending strategies using data-driven insights.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Lead a team of analysts, manage analytics product development, ensure data quality, build self-serve dashboards, and partner with cross-functional teams.

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.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.