Top Data & Analytics Jobs in Detroit, MI
As a Senior Internal Auditor/SOX Compliance Analyst, you'll support compliance efforts including SOX, conduct audits, assess business risks, and evaluate internal controls. Responsibilities include coordinating with audit partners, advising on control design, and improving business efficiencies.
The Senior Scientist will work on developing and deploying large analytic datasets and machine learning models to drive data-driven decision-making. They will collaborate with diverse technical teams to create analytical pipelines, user interfaces, and data visualization solutions for internal business functions at GM.
The Sr Materials Analyst is responsible for managing inventory, ensuring data accuracy, and coordinating with departments. Duties include controlling the supply chain, managing customer service portals, operating ERP processes, and analyzing inventory levels in a lean manufacturing environment.
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The AI & GenAI Data Scientist-Manager at PwC will leverage advanced analytics to drive insights from large datasets. They will manage teams to develop AI solutions, mentor members, and ensure quality delivery while collaborating with clients on their business problems.
The Principal Project Analyst will assist in managing and performing financial control of contracts, coordinate project plans and metrics, support risk management activities, prepare for audits, and ensure timely delivery of project deliverables. Strong communication and analytical skills are essential to interact with various stakeholders and lead project teams effectively.
The Quality Assurance Analyst will evaluate sales calls, optimize client experiences, resolve system issues, compile resources for product rollouts, collaborate with various teams, and create dashboards for executive reporting.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.
The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.
The Lead Data Analyst will focus on conducting complex data analyses within the Life Sciences Division, particularly using electronic medical records and claims data. Responsibilities include developing insights for strategic partnerships, predicting trends, and ensuring data integrity while collaborating with internal teams to enhance decision-making.
As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
The Senior Technical Data Analyst will lead deep data analysis to identify trends and business opportunities, mentor junior analysts, develop data-driven solutions, and ensure data quality. Collaborating with cross-functional teams, the analyst will enhance GHX's data and analytics solutions, applying expertise in AI and machine learning when necessary.
As a Senior Data Scientist at Webflow, you will analyze user engagement and define success metrics to drive product improvements, develop data pipelines, collaborate on growth opportunities, and enhance user experiences with actionable insights.
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