Top Analysis Reporting Jobs in Detroit, MI

The Category Data Analyst supports sourcing activities, supplier relationships, and cost optimization through data analysis, market intelligence, and reporting, enabling strategic category management.

Lead Corporate Brands squads, optimizing performance marketing through analytics, directing strategic projects and fostering collaboration between teams.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

The Director of Marketing Analytics will lead a marketing analytics team, driving insights for pipeline growth and revenue optimization, while collaborating cross-functionally to enhance measurement of marketing effectiveness.

The Sr. Competitive Intelligence Analyst supports cloud security product strategies through market analysis and competitive insights, partnering with various teams to enhance winning strategies.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

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

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

The Analyst II will leverage data analytics to derive insights, optimize credit strategies, and collaborate with cross-functional teams including Machine Learning and Engineering.

As a Senior Business Intelligence Engineer, you'll collaborate with various teams to enhance decision-making through data insights, manage data pipelines, and ensure data quality while delivering impactful dashboards.

Manage and optimize the Salesforce environment for Revenue Operations, enhancing Sales, Success, and Marketing workflows through automation and data integrity.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.