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

<p><span><strong>Key Responsibilities:<br/><br/></strong></span></p> <p><span><strong>Data Engineering &amp; Pipeline Development:</strong></span></p> <ul> <li><span>Design, implement, and maintain robust data pipelines (ETL/ELT) to collect, process, and transform large-scale structured and unstructured datasets from diverse automotive sources. </span></li> <li><span>Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools. </span></li> <li><span>Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs. </span></li> <li><span>Collaborate with IT and analytics teams to integrate data from business systems into centralized data products.  </span></li> <li><span>Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation. </span></li> <li><span>Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions. </span></li> </ul> <p><span><strong>Collaboration &amp; Stakeholder Engagement:</strong></span></p> <ul> <li><span>Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions. </span></li> <li><span>Educate and mentor team members on data best practices, analytics tools, and emerging technologies. </span></li> </ul> <strong><span>Qualifications</span></strong> <p><span><strong>Basic Qualifications:</strong></span></p> <ul> <li><span>Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field, or equivalent work experience</span></li> <li><span>Minimum 1 year experience in data engineering, analytics, or data science (automotive industry experience preferred)</span></li> <li><span>Proficiency in programming languages such as Python and SQL</span></li> <li><span>Hands-on experience with ETL/ELT tools, data modeling, and cloud platforms (Snowflake, etc.)</span></li> <li><span>Strong analytical thinking, problem-solving skills, and attention to detail</span></li> <li><span>Excellent communication and presentation abilities, with a proven ability to explain complex technical concepts to diverse audiences</span></li> <li><span>Ability to manage multiple priorities and deliver results in a fast-paced environment</span></li> </ul> <p><span><strong>Preferred Qualifications:</strong></span></p> <ul> <li><span>Master Degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field</span></li> <li><span>Demonstrated experience designing and deploying business dashboards and data visualizations for large-scale automotive or after-sales operations</span></li> <li><span>Advanced proficiency with business intelligence tools (e.g., Power BI, Tableau, Qlik) and experience integrating visualizations with cloud data platforms (e.g., Snowflake)</span></li> <li><span>Familiarity with Mopar systems and performance metrics</span></li> <li><span>Knowledge of machine learning, deep learning, and advanced analytics techniques</span></li> <li><span>Certifications in cloud data engineering or analytics platforms</span></li> </ul>