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Data Analytics Systems Specialist

Job in Auburn, Lee County, Alabama, 36831, USA
Listing for: Stellantis
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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, Power

    BI, 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 Production Way Logistics Pillar knowledge
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