Top Analytics Jobs in Ann Arbor, MI

The Director of BI & Analytics will lead data architecture, build a data lake, manage ELT/ETL pipelines, and develop enterprise reporting and models, partnering across functions to drive commercial analytics and insights.

Lead the Insights and Analytics team at Antenna, define vision for data delivery, build scalable systems, mentor talent, and drive impactful analytics solutions.

As a Senior Specialist in Data Analytics, you'll conduct high-quality data analyses and reporting, using SQL and analytics tools to support media decision-making for clients.

This role involves leading data projects, managing analytics, delivering insights, and mentoring team members while collaborating on data strategies for clients.

The Analytics Engineer will support Finance and Accounting operations, focusing on data model development, platform optimization, technology adoption, problem-solving, and collaboration to drive data-driven business decisions.

Lead marketing operations and analytics, focusing on data-driven strategies, budget analysis, and optimizing marketing technology for growth. Manage complex data analysis and reporting to inform decision-making.

The Associate Director will lead BI&A research projects, translate data into strategic insights, and communicate findings to senior leadership within a fast-paced biopharmaceutical environment.

Manage marketing data systems, track pipeline and revenue analytics, ensure data quality, and provide proactive insights. Collaborate with cross-functional teams to align on metrics and reporting.

The People Analytics Partner collaborates with HR and business leaders to provide data-driven insights and recommendations for talent decisions and survey strategies.

Lead the Credit Risk & Analytics function, utilizing AI/ML for underwriting, portfolio monitoring, and collections strategy to enhance risk performance.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

The Director of Analytics leads the analytics strategy for Marvel Strike Force, manages a team, and uncovers insights to drive player experience and revenue.

The Analytics Manager leads a team to deliver impactful analytics, manage the analytics roadmap, establish best practices, and synthesize complex data insights for product strategy.

The Senior Analytics Engineer II will transform data for self-service analytics, ensuring quality and reliability in data models, while mentoring junior team members and collaborating with stakeholders.

Lead marketing attribution strategy, forecasting, and analytics to influence decisions and revenue growth while collaborating with cross-functional teams.

This role focuses on driving data-driven decisions in Paid Media strategies by analyzing performance metrics, optimizing media investments, and collaborating with various teams to enhance customer acquisition.

Lead Advanced Analytics to support product and business leaders at Airbnb; provide data insights, recommendations, and drive analytics strategies using A/B testing and metrics design.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

Oversee customer reporting and analytics at Omada Health by leading a team, developing strategies, and collaborating across functions to deliver insights.

The Client Analytics Manager will manage client relationships, oversee data integration processes, coordinate between teams, and deliver analytics reports.

As a Senior Data Analyst in Marketing, you will analyze marketing data, track performance trends, develop models, and communicate recommendations to support strategic decisions.

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

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.