Data Analytics Systems Specialist – Material Logistics Management

Stellantis • Auburn Hills, MI

3d

About The Position

The Data Analytics Specialist candidate blends technical expertise with strategic vision and can translate complex data into actionable intelligence for senior leaders.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level