Test & Analytics Engineer

Stord Labs is the experimental engine for defining how fulfillment scales across the network. As a Test & Analytics Engineer you bring rigorous testing and analytical discipline to that mission, designing experiments, executing them, and analyzing results to inform production systems. What You’ll Do Experiment Design & Governance – Define clear hypotheses, success metrics, and measurement frameworks for all operational experiments conducted within the lab environment; establish disciplined test governance to ensure experiments are structured, comparable, and decision‑ready; rapidly discontinue experiments that do not demonstrate measurable operational improvement to maintain agility and resource efficiency. Workflow Testing & Execution – Design, execute, and analyze multi‑pass picking workflows versus traditional single‑pass picking to evaluate productivity, travel distance, and throughput impacts; partner directly with warehouse associates to ensure test conditions reflect real‑world constraints and behaviors. Inventory Strategy & Analytics – Evaluate and model advanced inventory strategies, including multi‑SKU binning, dynamic slotting based on order profiles, and predictive replenishment systems; assess co‑mingled inventory strategies, measuring impact across storage density, inventory availability, fulfillment speed, and replenishment efficiency; translate experimental results into actionable recommendations for warehouse configuration and inventory logic. Field Integration & Operational Collaboration – Work closely with warehouse associates performing day‑to‑day fulfillment activities to align experimental design with operational reality; incorporate field feedback into test design, execution refinement, and interpretation of results. Basic Qualifications Bachelor’s degree in a highly quantitative field; Master’s degree preferred. 5+ years of experience in advanced analytics, process engineering, testing strategy, or operations analytics within high‑volume logistics or 3PL environments. Strong expertise in statistical analysis and A/B testing methodologies, with ability to derive statistically significant and scalable conclusions from operational data. Advanced SQL skills for querying and analyzing warehouse and fulfillment performance data. Proficiency in data visualization tools such as Tableau or Power BI. Programming experience in Python or R for data manipulation, scripting, and statistical analysis. Experience conducting time‑and‑motion studies or process mapping in warehouse or manufacturing environments. Experience working with digital twin or simulation models to evaluate slotting logic and warehouse workflows at scale. Ability to travel domestically 25% annually. Bonus Points Prior experience as a functional lead supporting WMS or WCS workflow configuration and optimization. Experience partnering with product and operations leadership to transition experimental learnings into live production pilots and scaled deployments. Note: This role is not eligible for visa sponsorship or employment‑based immigration support. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Stord participates in E‑verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S. #J-18808-Ljbffr Stord, Inc.