Analytics Engineer - Data

Job Purpose

The Analytics Engineer builds and maintains the data foundations that power advanced analytics, AI-driven insights, and reporting across Dana’s global supply chain. This role is responsible for transforming raw operational data into reliable, accessible, and well-modeled datasets-enabling improved forecast accuracy, optimized material flow, enhanced decision-making, and automated analytics at scale.

The position is highly technical, blending data engineering, data modeling, and analytics to support end-to-end supply chain performance.

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Job Duties and Responsibilities

Data Modeling, Pipelines & Engineering (Core Focus)

• Design, build, and maintain SQL-based data models and transformations using dbt (data build tool) as the primary development framework.
• Develop scalable, well-tested data pipelines integrating SAP, logistics systems, planning tools, and external sources.
• Implement data quality tests, documentation, and version control practices consistent with modern analytics engineering standards.
• Ensure semantic consistency, reproducibility, and strong governance across data domains (inventory, demand, supply, logistics, procurement).

AI, Data Science & Predictive Analytics

• Build and maintain AI-driven forecasting, inventory optimization, and supply-risk detection models.
• Apply data science techniques (regression, clustering, anomaly detection, statistical modeling) to identify process inefficiencies and cost-saving opportunities.
• Develop predictive insights on demand variability, supplier performance, logistics constraints, and inventory exposure.
• Support AI adoption across plants by training users, interpreting model recommendations, and validating accuracy of automated signals.

Working Capital & Cost Optimization

• Analyze inventory levels, safety stock models, lead times, and cycle stock to reduce working capital without compromising customer service.
• Identify excess, obsolete, and slow moving inventory drivers and propose data backed reduction strategies.
• Support cost reduction initiatives by analyzing transportation cost trends, supply routes, MOQ impacts, and supplier delivery patterns.
• Create scenario based models to evaluate the cost impact of forecast shifts, production changes, sourcing decisions, or logistics contingencies.
• Monitor working capital KPIs and provide actionable insights to MP&L and Finance.

Supply Chain Operations & Analytics

• Conduct deep dive analysis into material flow, capacity constraints, and MRP exceptions using SAP data.
• Develop real time dashboards and exception reports to improve visibility and streamline decision making.
• Partner with planners, schedulers, MP&L managers, and operations leaders to translate insights into executable actions.
• Support new product launches, engineering changes, and supply readiness activities using data driven assessments.
• Participate in continuous improvement projects focusing on parameter optimization, scheduling accuracy, and inventory efficiency.

Education and Qualifications

• Bachelor’s degree required; MBA or CPIM/CSCP preferred
• Minimum of +-5 years of experience in supply chain, materials management, logistics, operations research, or analytics.
• PowerBi
• Strong problem-solving skills with focus on cost, working capital, and operational optimization.
• Experience with AI concepts, predictive modeling, or statistical analysis is highly desirable.
• SAP experience (MM/PP required; familiarity with MRP logic, BOM structures, and inventory transactions preferred)
• Understanding of both the Automotive and Commercial Vehicle industry preferred.
• Possess excellent communication and interpersonal skills and must be capable of professionally interacting with global manufacturing plants
• Skilled in composing written correspondence and preparing presentations for senior management.
• Successfully interacts with a dispersed leadership team and others across functions and sites.
• Must be proactive, detail oriented and have excellent organization, planning and follow-through skills.
• Committed to tasks and skilled at identifying and solving a variety of problems of broad scope and complexity with little to no supervision.
• Must be able to work flexible hours.
• Travel required 20% +

Skills and Competencies

• Ability to interact with all levels of the organization, from production associates to senior leaders.
• Ability to function as a team player and be comfortable leading without direction.
• Ability to build credibility and trust.
• Ability to influence leaders and change their paradigm.
• Must be proficient with the use of the Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, and Visio) and other MRP and ERP software.
• APICS, Six Sigma and/or Lean Certification a plus.