Sr Analyst Supply Chain Ops Research

Staples Business • Framingham, MA

3h • Onsite

About The Position

Our supply chain team is dedicated to meeting our customers’ needs both now and in the future. By pairing innovative technology with dynamic employees, we create smarter, more efficient ways to meet our customers’ needs faster. Our network of distribution, fulfillment, fleet, furniture installation and professional teams work together in fun and safe environments to deliver state-of-the-art products, services, and expertise to our customers.
Position Summary
The Senior Operations Research Analyst (Replenishment) is a highly technical and analytical role responsible for optimizing Staples’ replenishment ecosystem through advanced modeling, and system‑level improvements. This role bridges data science, supply chain planning, and replenishment system design to enhance inventory performance, increase automation, and improve service levels across the network.
This position uses advanced analytics, SQL, Python, and AI/ML driven insights to diagnose system behaviors, recommend parameter adjustments, and partner with both business stakeholders (Planners, Inventory Analysts, S&OP teams) and technical partners (Data Scientists, IT Engineering) to drive scalable enhancements.

Requirements

• 1–3+ years of experience In Supply Chain with a focus on inventory replenishment, project management, and replenishment systems
• Bachelor’s in Operations Research, Industrial Engineering, Supply Chain, Mathematics, Statistics, Computer Science, or related analytical discipline.
• Strong proficiency in SQL and Python.
• Proven analytical and problem‑solving skills with the ability to interpret complex data and system behaviors.
• Detailed knowledge of the Replenishment, Forecasting and Allocation Systems and Process for a variety of Systems and Solutions
• Experience working with data visualization and BI tools such as Tableau, Power BI, MicroStrategy, or QlikView
• Experience building solutions on public cloud as well as on-premise platforms (e.g.: Azure, SQL Server, Snowflake)

Nice To Haves

• Master’s in Operations Research, Industrial Engineering, Supply Chain, Mathematics, Statistics, Computer Science, or a related analytical discipline, plus 1-3 years industry experience.
• Experience working with development toolsets such as Hadoop, MYSQL, Teradata, NOSQL, etc.
• Understanding of multi‑echelon inventory strategies, supplier variability, and advanced replenishment concepts.
• Experience creating decision‑support tools or automation scripts to improve planner productivity and drive process efficiency.
• Familiarity with automated replenishment systems (e.g., AWR/E3 or similar) and core concepts (safety stock, SLGs, min/max, order policies, forecast drivers).

Responsibilities

• Optimize replenishment system performance by analyzing system settings (SLGs, safety stock, min/max, order policies) and recommending data driven adjustments to improve instock, inventory turns and forecast accuracy.
• Conduct scenario modeling to evaluate the impacts of parameter changes, network shifts, supplier variability, and policy updates.
• Support discovery, testing, and rollout of replenishment system enhancements including AWR upgrades, parameter redesigns, and new analytical capabilities.
• Partner with Data Scientists to design, test, and deploy advanced forecasting, clustering, and optimization models that enhance automation and decision making.
• Collaborate with Supply/Demand Planners and business teams to translate business needs into system or analytical enhancements, including AI driven improvements
• Work with IT and Engineering to support system updates, parameter changes, and implementation of new replenishment capabilities or ML enhanced features.
• Develop tools, scripts, and insights that simplify workflows, reduce manual effort, and enable exception-based replenishment management.
• Serve as a technical SME in replenishment theory, system design while mentoring junior analysts in analytical best practices.
• Ability to collaborate effectively with both business stakeholders and technical teams.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and nontechnical customers

Benefits

• Inclusive culture with associate-led Business Resource Groups
• Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)
• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level