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

Key Responsibilities:

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.