Top Analytics Jobs in Detroit, MI

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

Design and enhance data management and analytics functions, build data assets, establish engineering standards, and enable self-service data access for analytics at Danaher.

Support client-facing performance measurement and reporting: calculate and validate outcomes, maintain dashboards and metrics, automate repeatable workflows, improve metric governance, and translate results into clear insights for internal and external stakeholders.

Lead centralization of performance data, define KPI standards, build scalable data infrastructure and executive dashboards (Looker), deliver cross-functional performance insights, forecasting, and predictive models to drive margin, LTV, and capital allocation decisions.

The role involves architecting data solutions, building data products in Snowflake, establishing data standards, and enabling self-service data access while ensuring data quality and compliance.

Analyze complex people data to identify trends and risks, leveraging automation for improved efficiency. Collaborate on people strategies and initiatives, providing actionable insights through data analysis.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

The Principal, Advanced Analytics - Subscriber Forecasting leads forecasting methodologies and develops frameworks for subscriber volume forecasting, integrating advanced analytics, time-series modeling, and AI. Responsibilities include scenario planning and cross-functional collaboration to inform enterprise decision-making.

The Lead GTM Analytics Engineer designs and manages the data model for GTM execution, ensuring accurate metrics and insights across Sales, Marketing, Customer Success, and Partnerships to drive revenue performance.

The Director of Data and Analytics will lead and grow the data function, overseeing team development, strategic execution, governance, and data integrity in a healthcare-focused environment.

The Senior Staff Engineer - SAP Analytics Consultant oversees SAP analytics projects, focusing on SAP Analytics Cloud solutions, data integration, and collaborating with business stakeholders to gather requirements and support analytics functionalities.

The Fraud Risk Analytics Manager will lead fraud risk strategy optimization and provide analytical insights to reduce fraud risk and enhance customer outcomes. They will partner with teams to ensure transparency and governance in fraud strategies, using advanced data analysis techniques to drive decision making.

The role involves identifying user friction points through data, maintaining KPIs, developing an analytical roadmap, and collaborating with cross-functional teams to enhance product experience. The manager will also mentor a team focused on technical excellence and accountability.

The Director of Audience Analytics & Insights leads strategic analysis, translating audience insights into actionable recommendations using advanced data extraction techniques and storytelling for luxury marketing clients.

The Media Analytics Manager leads media measurement and analysis, develops frameworks, and provides insights to optimize marketing strategies across Stellantis brands.

The Senior Data Analyst will analyze data to provide business insights, present findings to leadership, and mentor peers, ensuring data quality and efficient processes.

Lead a team to utilize data for business insights, implement analytics strategy, develop algorithms, manage performance, and align with business objectives.

As a Supervisor in Analytics, you will lead media analytics projects to generate insights and support client decisions, managing analytics teams and client communications effectively.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

The Business Intelligence and Analytics Manager is responsible for developing and improving the reporting environment using Microsoft Power BI, ensuring alignment with business needs, and providing insights for decision making.

The HR Technology BI Developer designs and develops HR analytics platforms to enhance decision-making and improve workforce planning through robust data solutions.

The HR Technology BI Developer designs and enhances the HR analytics platform, develops scalable solutions, and collaborates with global teams to improve workforce analytics and compliance.

Lead the migration and modernization of analytical code and statistical models from on-premise to cloud environments, ensuring data accuracy and continuity.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.