WMS Business Analyst/Data Scientist (Mopar Parts & Service - North America)

Key Responsibilities: Data Engineering & Pipeline Development: Design, implement, andmaintainrobust 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. Optimizedata 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 dataproducts. 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 analyticsand businessteams, translating business needs into scalable data solutions. Educate and mentor team members on data best practices, analytics tools, and emerging technologies. Basic Qualifications: Bachelor'sdegree in Computer Science, Data Engineering, Data Science, Information Systems, ora related field, or equivalent work experience Minimum 1 year experience in data engineering, analytics, or data science (automotive industry experience preferred) Proficiencyin programming languages such as PythonandSQL 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 Preferred Qualifications: Master Degree in Computer Science, Data Engineering, Data Science, Information Systems, ora related field Demonstrated experience designing and deploying business dashboards and data visualizations for large-scale automotive or after-sales operations Advancedproficiencywith 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 #J-18808-Ljbffr Stellantis