Top Analytics Jobs in Detroit, MI

Lead data engineering and analytics engagements: gather requirements, design and deploy cloud data platforms and data warehouses, build ETL pipelines and APIs, develop BI reports, mentor staff, and support practice and project management activities.

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

The role involves designing data models, building data pipelines, integrating analytics systems, and delivering insights to support Mopar eCommerce's revenue goals.

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 Cross-Tier Analyst supports digital analytics, facilitating data integration across platforms, and assists in measuring and optimizing user engagement, reporting, and insights for digital marketing strategies.

As a Data Analytics Lead, you'll define KPIs, build data models, and develop actionable reports to support scalable analytics in a fast-growing healthtech company.

The role involves maximizing profitability through revenue optimization, forecasting, analysis, and collaboration with cross-functional teams, focusing on pricing and seat inventory management.

The Analytics Principal will lead analytics for key client partnerships, analyze large datasets, develop insights, and mentor junior analysts.

This Senior Actuary role focuses on leading strategic initiatives, conducting financial analysis, developing methodologies, and influencing cross-functional teams to optimize health care programs.

The Senior Analytics Engineer designs and maintains analytics-ready data models, manages SQL-based transformations, partners with stakeholders, and ensures data quality for reporting and decision-making.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Sr. Analytics Analyst will set up data feeds, create reports, perform data analysis, and ensure data quality for client implementations.

The Director of Data & Analytics will lead the Data & Analytics team, define product strategies, ensure quality outcomes, and drive user adoption of data products. They will act as a technical lead in customer interactions while balancing various internal and external data-related priorities.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

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.

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.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Data Analytics Engineer will develop data infrastructure and collaborate with data scientists to create business solutions, support predictive modeling, and mentor team members.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

Lead the transformation of People Analytics dashboard portfolio into a cohesive experience while defining BI platform strategy, improving usability, and developing scalable data products.

The Adobe Analytics Developer will design analytics solutions, ensure data collection across platforms, govern data layers, and lead technical efforts in analytics implementations.

The Analytics Engineer will oversee the analytics foundation for advertiser reporting, ensure metric consistency across campaigns, and work with various teams to manage metrics and data models for the expanding ad platform.