Stellantis

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

Stellantis • $95K — $115K *
Auburn Hills, MI 48326In-Person
Manufacturing & Automotive
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in a related field or equivalent experience
  • Minimum 1 year of experience in data engineering, analytics, or data science (preferably in automotive)
  • Proficient in Python and SQL programming languages
  • Hands-on experience with ETL/ELT tools and cloud platforms like Snowflake
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation skills
  • Ability to manage multiple priorities in a fast-paced environment

Responsibilities

  • Design and maintain data pipelines to process large datasets from automotive sources
  • Develop tools for automated data validation and monitoring
  • Optimize data workflows for scalability and reliability
  • Collaborate with IT and analytics teams for data integration
  • Build predictive models and machine learning algorithms
  • Create clear data visualizations and reports for insight dissemination
  • Serve as a liaison between analytics and business teams, translating needs into data solutions
  • Educate team members on data best practices and tools

Benefits

  • Opportunity for professional growth through mentorship and skill development
  • Access to cutting-edge technologies in the automotive data space
  • Collaborative work environment with interdepartmental teamwork
  • Possibility of work on innovative machine learning projects
  • Involvement in shaping data solutions that influence business outcomes
Full Job Description
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.


Basic Qualifications:
  • 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 (automotive industry experience preferred)
  • 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

Preferred Qualifications:
  • 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

About Stellantis

Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
Learn more about Stellantis
Size
400,000 employees
Market Cap
$44.9 billion
Industry
Manufacturing & Automotive
* Ladders Estimates

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