Top Analytics Jobs in Detroit, MI

The Senior Performance Strategist manages key client relationships, optimizes performance, drives projects, supports troubleshooting, and mentors junior members to enhance campaign strategies and processes.

The GM Defense FP&A Analyst role involves automating reporting, developing financial models, utilizing analytics for performance insights, and supporting program finance activities.

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The AV Safety Analytics Engineer will develop data analytics infrastructure for automated vehicle safety, utilizing cloud processing and statistical methods. Responsibilities include creating data visualizations, monitoring metrics, and ensuring data integrity across systems.

The Senior Data & Analytics Consultant will lead data structuring, reporting, and analysis for the pet business, ensuring accurate reporting to meet business objectives.

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.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Director of Business Intelligence will manage analytics and reporting, ensuring data-driven decisions for real estate across Business Units and Enterprise leadership.

The role involves optimizing decision-making through analyses, creating dashboards, and providing insights to drive revenue growth and enhance merchant relationships.

The Senior Analyst, Marketing Analytics & Insights will analyze marketing performance data, provide insights, collaborate across teams, and optimize strategies to improve ROI.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

The Sr. Operations Analytics Manager will enhance billing and account efficiency, analyze complex data, and provide actionable insights to improve financial performance and customer service.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

The SVP of Analytics Solutions will lead a global team to define, build, and commercialize analytics capabilities, drive client impact, and support business growth through innovative data solutions.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead a unified analytics organization for Marketing and Product, define shared metrics and measurement frameworks, deliver executive-ready insights, build forecasting and experimentation programs, partner with engineering and privacy teams, and hire and mentor multi-layer analytics teams to drive product adoption and business outcomes.

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

Design, build, and operationalize cloud-based data pipelines and transform raw data into analysis-ready datasets. Collaborate with business, analytics, and engineering teams to develop data models, automate data preparation, and document transformations. Support Power BI models and dashboards, improve data accessibility and reliability, and mentor peers while exploring new data technologies and automation techniques.