Data Analytics Systems Specialist – Material Logistics Management

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