Control Tower Development: Design and build the supply chain analytics framework, developing KPIs and dashboards that provide visibility into fulfillment performance, inventory health, labor productivity, transportation efficiency, and customer experience.
Operational Performance & Cost Optimization: Develop automated auditing and monitoring tools to identify margin leakage, cost inefficiencies, productivity gaps, and service risks across warehousing, transportation, and inventory operations.
Inventory & Network Analytics: Analyze inventory flow, demand patterns, capacity utilization, and network performance to improve service levels, reduce carrying costs, and increase throughput.
Data Integrity & Systems Strategy: Partner with technology and operations teams to define data requirements, improve system integrations, and build a scalable analytics roadmap across WMS, TMS, OMS, and related systems.
Advanced Analytics & Decision Support: Apply predictive modeling, regression analysis, segmentation, and forecasting techniques to identify performance drivers and inform operational strategy.
Requirements
Bachelor’s degree in a quantitative or business field (e.g., Finance, Supply Chain, Economics, Mathematics, or related discipline).
8+ years of experience leading large-scale analytics projects or programs, preferably in retail, ecommerce, or supply chain environments.
Experience leveraging AI tools or analytical frameworks to develop decision-support solutions.
Strong SQL expertise, with the ability to build datasets and perform complex queries across multiple systems.
Hands-on experience with R, Python, or similar programming languages for building scalable data models and analytics solutions.
Experience structuring, cleaning, and visualizing data from WMS, TMS, OMS, or ERP systems.
Experience applying advanced analytics techniques, including predictive modeling, regression analysis, forecasting, and trend segmentation.
Strong understanding of supply chain and fulfillment concepts, including inventory management, capacity planning, service level metrics, order flow, and cost-to-serve analysis.
Strong written and verbal communication skills, including experience presenting to senior leadership and writing formal reports or white papers.
Proficiency in data visualization tools (e.g., Tableau) and advanced Excel.