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Data Analytics Systems Specialist - Material Logistics Management

Auburn Hills, MI, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

Logistics Management
Data Analysis
KPI
Data Architecture
Decision-making
Collaboration
Auditing
Analytical Skill
Data Engineering
Advanced Analytics
Dashboard
Leadership
Strategic Planning
Performance Monitoring
Data Mining
Modeling
Visualization
Microsoft Excel
Microsoft Power BI
Communication
Microsoft Office
Analytics
Finance
Statistics
Artificial Intelligence
Forecasting
SQL
Python
R
Scripting
Machine Learning (ML)
Cloud Computing
Snow Flake Schema
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Trend Analysis
Return On Investment
Logistics

Summary

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, Google Cloud Platform)
Demonstrated success in building trend analysis tools and ensure ROI justification
Experience Working in a Unionized Environment
Stellantis Industrial Systems Logistics Pillar knowledge

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183256
Position Id: 9a56e43c8809b997ddecd7a58ce7fbb7
Posted 5 hours ago

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