Data Analytics Systems Specialist \u2013 Material Logistics Management

Stellantis NV

  • Auburn Hills, MI
  • 3 days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Miningunmatched
    • Data Modelingunmatched
    • Financeunmatched
    • Financial Auditunmatched
    • Financial Operationsunmatched
    • Forecastingunmatched
    • GCP (Good Clinical Practices)unmatched
    • Information Technology/Systems Auditunmatched
    • Leadershipunmatched
    • Logisticsunmatched
    • Logistics Managementunmatched
    • Machine Learningunmatched
    • Materials Managementunmatched
    • Microsoft Access Databaseunmatched
    • Microsoft Excelunmatched
    • Microsoft Officeunmatched
    • Microsoft Windows Azureunmatched
    • Needs Assessmentunmatched
    • Performance Analysisunmatched
    • Performance Metricsunmatched
    • Power BIunmatched
    • Predictive Modelingunmatched
    • Presentation/Verbal Skillsunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • Reporting Dashboardsunmatched
    • Return on Investment (ROI)unmatched
    • SQL (Structured Query Language)unmatched
    • Scripting (Scripting Languages)unmatched
    • Snowflake Schemaunmatched
    • Statisticsunmatched
    • Strategic Planningunmatched
    • Technical Strategyunmatched
    • Trend Analysisunmatched
    • Writing Skillsunmatched

    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

    Numbers & Facts

    LocationAuburn Hills, MI

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