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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # WMS Business Analyst/Data Scientist (Mopar Parts & Service - North America) - **Company:** Stellantis - **Location:** Auburn Hills, MI, United States - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Business Systems, Cloud Computing, Information Systems, Information Engineering, Extract Transform Load (ETL), Data Visualization, Monitoring of Systems, Python (Programming Language), Machine Learning, Power BI, Cloud Services, Standard Sql, Responsive Web Design, Systems Integration, Tableau (Software), Snowflake, Deep Learning, Information Technology, Data Analytics, Qlikview, Tools for Reporting, Data Pipelines - **Published:** August 7, 2026 - **Apply:** https://careers.stellantis.com/job/23674901/wms-business-analyst-data-scientist-mopar-parts-service-north-america-auburn-hills-mi/ ## About the Role * Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field, or equivalent work experience * Minimum 1 year experience in data engineering, analytics, or data science (automotive industry experience preferred) * Proficiency in programming languages such as Python and SQL * Hands-on experience with ETL/ELT tools, data modeling, and cloud platforms (Snowflake, etc.) * Strong analytical thinking, problem-solving skills, and attention to detail * Excellent communication and presentation abilities, with a proven ability to explain complex technical concepts to diverse audiences * Ability to manage multiple priorities and deliver results in a fast-paced environment, * Master Degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field * Demonstrated experience designing and deploying business dashboards and data visualizations for large-scale automotive or after-sales operations * Advanced proficiency with business intelligence tools (e.g., Power BI, Tableau, Qlik) and experience integrating visualizations with cloud data platforms (e.g., Snowflake) * Familiarity with Mopar systems and performance metrics * Knowledge of machine learning, deep learning, and advanced analytics techniques * Certifications in cloud data engineering or analytics platforms ## Description Data Engineering & Pipeline Development: * Design, implement, and maintain robust data pipelines (ETL/ELT) to collect, process, and transform large-scale structured and unstructured datasets from diverse automotive sources. * Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools. * Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs. * Collaborate with IT and analytics teams to integrate data from business systems into centralized data products. * Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation. * Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions. Collaboration & Stakeholder Engagement: * Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions. * Educate and mentor team members on data best practices, analytics tools, and emerging technologies. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Car's are Technology on Wheels - Impact of Software and IT Competence in Automotive](https://www.wearedevelopers.com/videos/780-car-s-are-technology-on-wheels-impact-of-software-and-it-competence-in-automotive) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)