td>| Duties: | Responsible for the exploration, aggregation, transformation, and cleansing of vehicle data across a variety of disparate sources and platforms, ensuring data integrity and consistency at scale; design, implement, and continuously optimize advanced predictive machine learning models to drive accurate and actionable business forecasts, leveraging complex datasets; architect, develop, and maintain high-performance APIs in Python, ensuring seamless integration with diverse data ecosystems while adhering to best practices for scalability and security; support efforts to streamline and automate the data pipeline, encompassing data acquisition, feature engineering, model development, and deployment workflows, optimizing for performance, efficiency, and scalability; coordinate and execute complex ad-hoc data analysis tasks, providing rapid, data-driven insights for immediate business needs; provide mission-critical on-call support to ensure the continued operation of business production systems, troubleshooting and resolving issues with minimal impact to operations; utilize and apply knowledge of Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC to complete assignments; translate complex analytical findings into clear, actionable insights; utilize cutting-edge Natural Language Processing (NLP) techniques to extract valuable insights from large volumes of unstructured text data, integrating AI-driven solutions to deliver sophisticated data analysis that directly impacts automotive operations and strategic initiatives; apply advanced statistical methodologies including Regression Analysis, Bayesian Inference, and machine learning-based forecasting techniques, to model and predict complex variables like market incentives, inventory management, sales forecasting, and operational performance; provide data-driven insights to optimize production strategies and facilitate high-level decision-making; leverage Cloud Computing platforms (primarily GCP) to architect and scale infrastructure for processing, storing, and analyzing massive automotive datasets; deploy data science solutions that integrate seamlessly with manufacturing and operational environments to drive efficiency, accuracy, and business intelligence; and present models and results to stakeholders, including business executives, to influence strategic decision-making. Education: Master’s – Data Science, Computer Science, Computer Engineering, Systems Engineering, or in a related field of study (will accept equivalent foreign degree); Training: None; Experience: One (1) year in the position above, as a Data Analyst, Data Engineer, as a Data Engineering Specialist, or in a related occupation; Other Requirements: Experience must include one (1) year use of all the following: Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC.Auburn Hills, MI10 days ago Responsible for digital tools (eSQAL, legacy systems), dashboards, analytics, and AI solutions to enable data-driven decision-making and improve supplier quality performance. Create strategy and combine legacy systems into one non conformance and APQP system by partnering with Quality, Manufacturing and Supply Chain. You will drive operational excellence & provide a robust statistical analysis on portfolio management for timely decision making ensuring zero obsolescence during PIPO process execution and supply chain readiness NPI projects in region with ensuring adherence to master data management, BOM management process. As the Product Life Cycle & Master Data Management Leader you will be responsible and accountable for product portfolio management, will oversee NPI, PIPO process with reference to supply chain interventions and manage material master. Ann Arbor, MI30+ days ago IHPI advances the work of its 800+ faculty members by creating a welcoming and supportive research community, including networking and engagement opportunities, education and professional development programs, access to data and analysis, grant development services, and robust communications and policy engagement support. IHPI's Data & Methods Hub was created to provide several unique support services, including access to data sets, methodological support, and assistance with data use agreements, to help build a vigorous and supportive research community. p>In 2025, the Company was recognized by Footwear News as Company of the Year, by Forbes as one of America's Dream Employers, America's Best Employers for Women, and America's Best Employers for Company Culture, and by Inspiring Workplaces as one of the Most Inspiring Workplaces Globally. Demonstrate resilience and maintain a high level of professionalism in high-pressure situations, ensuring the accuracy and integrity of material data while effectively managing complex tasks and deadlines. Ann Arbor, MI30+ days ago Working closely with subject matter experts and a multi-disciplinary Product Development team, you will design and implement AI models and image analysis algorithms that power products delivering reliable, quantitative measurements from images of biological systems. D. degree in Data Science, Computer Science, Computer Engineering, Biomedical Engineering, Applied Mathematics, or related field and 2+ years of experience developing image processing / computer vision algorithms and machine learning solutions. Novi, Michigan16 days ago li>Develop platform capabilities that help data engineering and analytics teams work more efficiently, including automated testing, CI/CD pipelines, deployment automation, code quality checks, and reusable templates. The role combines a strong technical understanding of modern data platforms with leadership, stakeholder management, product-oriented thinking, and the ability to manage a team of up to 5 platform engineers. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Job Description: Position Description: We are seeking a Data Product Manager to define, develop, and manage data products that enable business insights, operational efficiency, and data-driven decision-making. You will partner closely with Facilities Operations leadership, service teams, logistics, compliance, and site leadership to improve execution quality, maintain strong process discipline, and ensure the site-support model scales with operational complexity. Technically rigorous environment: Work alongside experienced engineers, automation specialists, and compliance teams in a rapidly scaling hyperscale cloud infrastructure, where disciplined execution and technical depth matter. Ann Arbor, MI30+ days ago Our Technology, Commercial & Industrial Team has specialized capabilities focused on the latest needs for clients in a fast-growth technology-led arena of advanced manufacturing, and generative AI computing including gigafactories, bio/ag tech, data centers and distributed infrastructure. Black & Veatch provides complete engineering, procurement, and construction new asset and operating asset services in the following areas: • Substations • Overhead Transmission Lines • Underground Transmission Lines • Renewables Integration. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Informing Leadership Decisions: Compiling and analyzing data to produce reports that facilitate cross-functional understanding and collaboration between Legal, Risk, and other business pillars, ultimately informing leadership decisions that drive business outcomes and mitigate risk across the government business. GHD will reimburse 50% of the cost of the following to maximum of $250.00 reimbursement annually for such items as: Health club membership fees, Home exercise equipment purchases, Bicycles, Race, run & marathon entrance fees, Smoking cessation programs, Weight loss programs (i.e.-Weight Watchers, Jenny Craig), Fitbits and Fitness Tracking devices. Our Environmental team is looking for a Chemistry Data Validator/Analytical Coordinator to provide technical support in the area of environmental analytical chemistry to project teams working within a diverse range of oil & gas and mining clients on a broad portfolio of projects. Auburn Hills, MI30+ days ago As a Business and Data Analyst you will be gathering requirements, developing a rich understanding of required data, facilitating the design of deliverables, partnering with technical and business stakeholders, testing, and implementing the solution, providing support to the users, and overall project coordination. Overview: Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use cases. li>Develop platform capabilities that help data engineering and analytics teams work more efficiently, including automated testing, CI/CD pipelines, deployment automation, code quality checks, and reusable templates. The role combines a strong technical understanding of modern data platforms with leadership, stakeholder management, product-oriented thinking, and the ability to manage a team of up to 5 platform engineers. strong> Job duties: Extract, transform, and manage data from multiple sources, including databases, data cubes, and user input files, to support business operations and decision-making; develop and maintain performance tracking reports and dashboards to monitor engineering and business processes, ensuring data accuracy and timely updates; analyze operational data to identify trends, inefficiencies, and improvement opportunities, and present insights through data visualization techniques; support analytics projects by applying data processing and reporting methodologies to deliver actionable business insights; investigate data inconsistencies, perform root-cause analysis, and implement solutions to improve data integrity; automate data workflows and reporting processes; collaborate with cross-functional teams to support engineering and operational initiatives; and prepare technical reports to support data-driven business strategies. Requirement: Bachelor's degree (or foreign equivalent) in Business Analytics, Data Analytics, Engineering, or a closely related field, and at least 1 year of experience. Data Center Technicians are the primary resolver and troubleshoot and solve a range of datacenter infrastructure issues including, but not limited to: hardware, fiber, networking, and related problems. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Data Analyst would analyze large datasets from connected vehicles, specifically focusing on in-car entertainment, navigation, connectivity, and user experience, in an effort to identify software improvements that would contribute to enhancing user satisfaction, optimizing system performance, and driving engagement with digital services. What You Will Do: - Analyze user interaction data from in-car infotainment systems (e.g., touch screen usage, voice command effectiveness, media consumption, etc.) to identify trends and usability pain points.
This role works cross-functionally with merchandising, product development, and IT teams to ensure data accuracy, integrity, and timely execution of go-to-market (GTM) activities. We are seeking a detail-oriented Product Data Analyst with experience in SAP and PLM systems to support product and pricing data management. Auburn Hills, MI18 days ago li>The Supplier Quality Warranty Data Analyst is responsible for analyzing warranty performance data to identify high-impact supplier quality issues, drive root cause prioritization, and support Time to Fix (TTF) improvement initiatives. Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. Southfield, MI30+ days ago p>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. p>Must possess a comprehensive knowledge of data and analytics as normally obtained through a master's degree in Health Science, Epidemiology, Computer Science, Statistics, Mathematics, Engineering, or other technical concentration, and three to five (3-5) years of relevant operational, technical, healthcare or clinical data analytics experience; or an equivalent combination of education and experience. In addition to advanced analytics skills, the Data Analyst (II) role requires knowledge in integrating and preparing large complex datasets from multiple data sources, consolidating them to draw contextual conclusions, and communicating results with healthcare and operational stakeholders, including mid-level management. Auburn Hills, MI18 days ago li>The Supplier Quality Warranty Data Analyst is responsible for analyzing warranty performance data to identify high-impact supplier quality issues, drive root cause prioritization, and support Time to Fix (TTF) improvement initiatives. This role focuses on identifying high-impact warranty issues, enabling rapid root cause investigation, and supporting cross-functional teams to reduce 3MIS and improve overall supplier quality performance. At DHL Supply Chain, were looking for a Senior Business Data Analyst who is eager to apply data-driven thinking, build impactful visualizations, and support operational excellence. In addition to core analytics work, youll have the opportunity to lead projects across multiple sites, support site startups, and act as a point of contact for analytics community initiatives. Auburn Hills, MI18 days ago The Supplier Quality Warranty Data Analyst is responsible for analyzing warranty performance data to identify high-impact supplier quality issues, drive root cause prioritization, and support Time to Fix (TTF) improvement initiatives. This role focuses on identifying high-impact warranty issues, enabling rapid root cause investigation, and supporting cross-functional teams to reduce 3MIS and improve overall supplier quality performance. Auburn Hills, MI30+ days ago In this role, you will develop and respond to requests for data analysis to present a coherent vision of business activities, assisting the Dealer Audit teams and key stakeholders in making data-driven decisions. 5+ years of (total) experience in the following areas: Automotive (Retail) - In-depth knowledge of dealership retail processes and procedures, with emphasis on fixed operations departments. Advanced proficiency in using spreadsheet software (e.g., Excel, Google Sheets) to manipulate large datasets, vlookup, create pivot tables, build financial models, and analyze complex data. While the primary focus is financial aid and gift fund planning, you will also support other operational workflows requiring heavy data compilation, financial modeling, and strategic coordination. |