Test & Analytics Engineer

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 executing fulfillment operations to ensure test conditions accurately 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 ensure experimental design aligns 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