Data Analytics Systems Specialist - Material Logistics Management

Fiat Chrysler Automobiles N.V.

Auburn Hills, MI, United States

11 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Shift work

Job source

careers.stellantis.com

Tech stack

Microsoft Access Microsoft Excel Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Data Architecture Information Engineering Data Mining Database Queries R (Programming Language) Python (Programming Language)

+17 more

Machine Learning Microsoft Office Operational Data Store Power BI Tensorflow Standard Sql Systems Integration Scripting Google Cloud Cloud Platform System Microsoft Power Automate Snowflake Data Analytics Performance Monitor Gsuite Industrial Software Data Pipelines

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.

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

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