Supply chain analytics engineer

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 2-5 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.