Top Analysis Reporting Jobs in Detroit, MI

This role involves leading data architecture strategies, collaborating with stakeholders, and implementing advanced data technologies to drive business growth at PwC.

The role involves leading finance big data assets governance, managing the data stewardship team, defining data quality rules, and collaborating with various stakeholders for analytics and AI governance.

As a Dealer Sales Performance Analyst, you will analyze dealer sales data, develop Power BI dashboards, automate reporting processes, and provide insights for improving sales performance and strategic decision-making.

Lead analytics initiatives for cost optimization at GM by building data pipelines, performing exploratory data analysis, and developing predictive models. Collaborate with cross-functional teams to design data architectures, analyze data quality, and provide actionable insights to enhance profitability and performance.

The Data Engineer will support data initiatives, build data pipelines, perform statistical analyses, and develop BI dashboards to drive business decisions.

As a Senior Analytics Engineer, you will design and maintain reliable data pipelines, improve data workflows, and mentor teammates to influence analytics practices at Spark.

The Cloud FinOps Practitioner will design and implement cloud financial operations, focusing on cost optimization, governance, and collaboration across teams to enhance efficient cloud usage.

As a Data Architect at RapidScale, you'll lead data platform engagements, ensuring delivery quality, managing teams, and designing cloud architectures while supporting ML implementations and client interactions.

The Privacy Technology Apprentice supports technology needs of the Regulatory Compliance and Privacy team by automating compliance tasks and developing dashboards using various tools.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.