Senior Supply Chain Analyst (Exol)

Symbotic•Kingman, AZ

32d•$87,000 - $119,900•Remote

About The Position

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. What we need As a Senior Supply Chain Analyst, you will execute data-driven projects and support both internal operations and commercial growth initiatives. In this role, you will transform raw customer data into actionable insights, support network optimization engagements, and help develop the analytics tools used to win bids and improve supply chain performance. This position reports to the Senior Manager, Supply Chain Design & Analytics. Exol is pioneering warehousing-as-a-service, offering outsourced warehousing operations and specializing in automated warehousing solutions. Our focus is on the efficient movement of goods in cases and pallets across all sectors, such as wholesale, retail, and general merchandising. Exol is an independently managed joint venture between Symbotic and Softbank. What we do The Customer Solutions organization at Exol is a critical part of the sales engine designed to provide end-to-end support for bid development for new business acquisitions. Integrating the functions of supply chain analytics, pricing, solutions engineering and customer communications the team creates cohesive, data-driven bidding approaches to ensure consistency and maximize success in winning new contracts

Requirements

Bachelor's degree in supply chain management, Industrial and Operations Engineering, Mathematics, or related field.
Minimum 5 years of experience executing supply chain analytics projects (e.g., network optimization, inventory optimization, and demand forecasting).
Expert-level proficiency in Excel and Microsoft Office tools.
Experience with network optimization platforms such as Supply Chain Guru.
Hands-on experience with Python.
Adaptability to thrive in a dynamic startup environment with shifting priorities.
Strong problem-solving abilities and a proactive approach to task ownership.

Nice To Haves

Exposure to AI agent development, deployment, and evaluation.
Experience working within Agile/Sprint methodologies for project or product development.
Experience using agile sprint methodologies to manage product development.
Exposure to warehouse automation and its impact on end-to-end supply chains.
Strong Python coding skills and experience with data visualization tools (e.g., Tableau, Power BI).
Effective data storytelling skills, with the ability to translate analytical findings into clear insights for the team and stakeholders.

Responsibilities

Process raw customer data to support cost and pricing analytics, network optimization solutions, and other analytics that support the sales team in competitive bids.
Manage end-to-end network optimization projects — including facility location analysis, capacity planning, transportation flow optimization, and cost-to-serve modeling — to support strategic decisions such as where to open new sites, expand existing warehouse capacity, or invest in additional network infrastructure.
Contribute to the transition of Excel-based analytics and workflows into scalable applications within our software platform, guiding requirements, prioritizing features, and ensuring successful delivery.
Lead the development, deployment, and ongoing improvement of AI agents across a wide range of use cases to automate analytics, streamline processes, enhance decision-making, streamline processes and improve operational efficiency.
Build and maintain customer-facing analytics dashboards to deliver supply chain insights, such as inventory optimization and demand forecasting.