Top Analytics Jobs in Detroit, MI

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 analyst will manage enterprise reporting and dashboards, collaborate with IT to deliver solutions, and support technical issues.

The Analytics Summer Internship at Stellantis provides a project-oriented opportunity in a collaborative environment, focusing on data-driven decision making across various business units.

As an Analytics Engineer, you will transform raw data into insight, model datasets with DBT, and build dashboards to support data-driven decisions.

The Analytics Data Modeler Lead transforms raw data into insights, developing robust data models, integrating data, and ensuring data quality for informed decision-making.

As an Analytics Engineer II, you'll develop data infrastructure, support pipelines, and enhance data accessibility while collaborating with various teams at Ophelia.

The Data Engineering and Analytics Intern will execute business analyses, build data infrastructure, and collaborate with teams to enhance data accessibility, providing insights for better decision-making in healthcare.

As a Senior Analyst for the Customer Data Platform, you will ensure accurate and actionable customer data, develop audience segments, and optimize journeys while collaborating with technical and business teams.

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

Lead and scale analytics engineering at ClassDojo, driving strategic data impact across teams, managing a high-performing team and overseeing data architecture and systems.

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 role involves managing consumer insights through data analysis, market research, and collaborative strategies to drive brand growth and innovation.

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

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The Business Analyst will build scalable financial models, conduct complex data analyses, and provide data-driven insights for strategic planning and decision-making.

The role involves leading risk management functions, developing data controls, facilitating communication with stakeholders, and ensuring compliance with regulations in data and analytics management.

The Data Analytics Associate will analyze healthcare data, manage research projects, and support customer engagements using analytics tools to drive insights.

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

The Segment Analytics Manager oversees Power BI support, conducts training, collaborates on reporting solutions, optimizes business processes, and ensures data governance while enabling continuous learning.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

The Staff, Advanced Analytics role involves driving data-driven decisions through analysis, statistical modeling, and metrics development to improve the customer journey at Airbnb.

Lead the analytics strategy and execution, manage a high-performing team, and drive insights for decision-making across the company.

The Senior Data Scientist will own user acquisition analytics, identify growth opportunities, define success metrics, and foster a data-informed culture.

The Manager of Analytics Engineering will lead a team to build and optimize data infrastructure, overseeing data pipelines and collaborating with cross-functional teams to support data monetization efforts.

The Supervisor leads analytics for key clients, manages a team, translates data into insights, and shapes measurement strategies to showcase clients' media impact, requiring strong experience in marketing analytics.