Mopar is seeking to drive advanced analytics and data solutions to support data-driven decision-making and operational excellence across the region
Requirements
- Proficiency in programming languages such as Python and SQL
- Hands-on experience with ETL/ELT tools, data modeling, and cloud platforms (Snowflake, etc.)
- 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
- Experience with data visualization tools and techniques
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
- Analyze complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and operational improvements
- Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation
- Conduct A/B testing, causal inference, and statistical analysis to evaluate business initiatives and drive continuous improvement
Other
- Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field
- 5+ years of experience in data engineering, analytics, or data science (automotive industry experience preferred)
- 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's degree (preferred)
