WMS Business Analyst/Data Scientist (Mopar Parts & Services – North America)

Stellantis • Auburn Hills, MI

20h

About The Position

This role focuses on data engineering, pipeline development, and applying machine learning to automotive data within Mopar Parts & Services for North America. The position involves designing and maintaining data pipelines, ensuring data quality, optimizing workflows, and building predictive models. It also requires collaborating with IT and analytics teams, translating business needs into data solutions, and educating team members on data best practices. The role emphasizes data visualization to present insights clearly and effectively.

Requirements

• 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
• 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

Nice To Haves

• Automotive industry experience preferred
• 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

Responsibilities

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level