Stellantis

Data Analytics Systems Specialist - Material Logistics Management

Stellantis • $80K — $110K *
Auburn Hills, MI 48326In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Analytics, Finance, Statistics, Logistics, Business or related field
  • Minimum 2 years of experience in data mining and visualization tools (Excel, PowerBI, etc.)
  • Excellent oral and written communication skills
  • Capable of working flexible shifts and overtime if needed
  • Master's Degree in related fields (preferred)
  • Familiarity with AI/ML models and predictive analytics (preferred)
  • Knowledge of SQL and cloud-based data platforms (preferred)

Responsibilities

  • Lead data mining and analytics initiatives to identify trends and answer business questions across KPIs.
  • Design and implement data architecture and governance frameworks for data accuracy and reliability.
  • Leverage AI and ML to create predictive models for financial performance and forecasting.
  • Collaborate with stakeholders to understand data needs and develop analytical solutions.
  • Partner with Data Engineering to enhance data pipelines and infrastructure for advanced analytics.
  • Build and maintain dashboards and self-service analytics tools for strategic planning and performance monitoring.

Benefits

  • Professional development opportunities
  • Flexible work shifts and overtime availability
  • Collaborative work environment across various business units
  • Access to cutting-edge AI and machine learning technologies
  • Potential to impact strategic decision-making at senior leadership levels
Full Job Description
The Data Analytics Specialist candidate blends technical expertise with strategic vision and can translate complex data into actionable intelligence for senior leaders.
  • Lead data mining and analytics efforts to identify trends, uncover opportunities, and answer critical business questions across all MLM KPIs.
  • Design and implement robust data architecture, governance, and quality frameworks to ensure accuracy, consistency, and reliability of financial and operational data.
  • Leverage AI and machine learning (ML) to build predictive data models, enabling proactive decision-making on financial performance, forecasting, and overall MLM strategies.
  • Collaborate closely with stakeholders across MLM, Production, Finance, Audit and IT to understand data needs and translate them into scalable analytical solutions.
  • Partner with Data Engineering teams to optimize data pipelines, integrations, and infrastructure for Visualizations and advanced analytics.
  • Build and maintain interactive dashboards and self-service analytics tools that support leadership in strategic planning and performance monitoring.


Basic Qualifications:
  • Bachelor's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Minimum 2 years of experience in data mining, modeling and visualization (Excel, PowerBI, Power App, Power Automate, Access, Snowflake)
  • Excellent oral and written communication skills including working knowledge of Microsoft Office and/or Google Suite
  • Ability to work any shift and overtime as required

Preferred Qualifications:
  • Master's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Experience implementing AI/ML models for predictive forecasting, anomaly detection or automated insights generation
  • Knowledge of SQL, Python, R or other data querying / scripting languages / machine learning frameworks
  • Knowledge of cloud-based data platforms (Snowflake, Azure, AWS, GCP)
  • Demonstrated success in building trend analysis tools and ensure ROI justification
  • Experience Working in a Unionized Environment
  • Stellantis Industrial Systems Logistics Pillar knowledge

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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