Description
Direct the development and use of supply chain analytics to optimize production, purchasing, warehousing, distribution, and financial forecasting. Build and govern data, models, and dashboards to limit costs and improve accuracy, service, and safety; analyze procedures to streamline product flows; and provide decision support for inventory movement, storage, and processing.
- • Model and recommend transportation routes and load plans to maximize economy through shipment consolidation and network optimization.
- • Diagram and maintain supply chain data and process models to facilitate stakeholder discussions and scenario planning.
- • Provide should-cost models, benchmarks, and price analytics to support negotiations with suppliers, vendors, or freight forwarders.
- • Meet with suppliers to review performance dashboards, share insights, and align on forecasts or production changes.
- • Document and quantify supply chain workflows, cycle times, role responsibilities, data definitions, and system flows.
- • Develop and implement analytics-based methods and scorecards to evaluate and select suppliers.
- • Analyze and simulate warehousing strategies, slotting, and layout to improve throughput and storage efficiency.
- • Partner with planners to produce statistical demand forecasts and supply plans that ensure material and product availability.
- • Define, standardize, and govern supply chain KPIs for cost, service, quality, and risk.
- • Analyze inventory to increase turns, reduce waste, and optimize service levels using multi-echelon policies.
- • Produce insights on supplier performance and procurement program outcomes, including OTIF, quality, and cost variance.
- • Model impacts of engineering changes, product extensions, or launches to ensure smooth material and production transitions.
- • Establish analytics processes that connect supply chain with sales, marketing, finance, production, and quality assurance (e.g., S&OP/IBP).
- • Perform network design and scenario analysis to support strategies for changing markets, new opportunities, or cost reduction.
- • Conduct life-cycle assessments and quantify environmental impacts of products, processes, or systems.
- • Develop analytics that track and optimize supply chains in line with environmental policies and targets.
- • Design and monitor reverse logistics and product take-back analytics to maximize recycling, reuse, or responsible disposal.
- • Evaluate and deploy data, analytics, and tracking technologies to improve visibility of distribution, storage, and inventory.
- • Identify reuse or recycling opportunities by analyzing material flows and waste streams.
- • Measure and report carbon footprints and environmental performance of storage and distribution partners.
- • Provide data-driven recommendations for selecting biodegradable, non-toxic, or environmentally preferred materials.
- • Embed environmental compliance metrics, standards, and monitoring into supply chain analytics and reporting.
- • Build capacity, equipment, and labor models to determine appropriate staffing and material handling requirements.
- • Deliver analytics and decision support for purchasing, MRP, inventory control, warehousing, and receiving activities.
- • Implement analytics-driven process improvements and automation to increase efficiency and performance.
- • Develop dashboards and alerts to monitor supplier adherence to quality and delivery requirements.
- • Track forecasts and quotas to detect changes and model impacts on supply chain activities.
- • Use risk, cost, and capability analytics to identify and qualify new suppliers with partner functions.
- • Build material cost forecasts and should-cost frameworks; maintain standard cost models.
- • Create data-driven assessments of vendor manufacturing capabilities using site data, tests, and performance metrics.
- • Ensure data quality, master data governance, and robust pipelines for timely, accurate supply chain insights.
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Supply Chain & Transportation
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Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
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This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
