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Test & Analytics Engineer

Stord
Atlanta, USA
Full-time
Mid · 5+ years experience
Onsite
Discovered 2 weeks ago
power-bipythonsqltableau

Full Job Posting

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

Preferred Qualifications

  • Bachelor’s degree in a highly quantitative field; Master’s degree preferred

Responsibilities

  • 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
  • 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
  • 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
  • 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

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