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Stord logo
Stord

The Consumer Experience Company | Fulfillment, Last-Mile Delivery, & Technology

BI Analyst II, Labor Planning

Business Intelligence DeveloperBusiness Intelligence DeveloperOtherRemoteLeadTeam 1,001-5,000Since 2015H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

97 days ago

Salary

0

Seniority

Lead

Bachelor Degree8 yrs expEnglishERPPythonSQLTableau

Job Description

BI Analyst II, Labor Planning

Stord

• Develop and maintain labor models to forecast staffing needs, optimize schedules, and balance workload across warehouses and fulfillment centers. • Analyze labor productivity, capacity utilization, overtime, and staffing costs to identify gaps and drive efficiency improvements. • Partner with operations and HR to implement workforce optimization strategies that align labor capacity with business demand. • Design and build the supply chain analytics framework, developing KPIs and dashboards that provide visibility into labor productivity, fulfillment performance, inventory health, transportation efficiency, and customer experience. • Develop automated auditing and monitoring tools to identify labor cost inefficiencies, margin leakage, productivity gaps, and service risks across warehousing, transportation, and inventory operations. • Analyze inventory flow, demand patterns, capacity utilization, and network performance to improve service levels, reduce carrying costs, and increase throughput, including the impact on labor requirements. • Partner with technology and operations teams to define labor-related data requirements, improve system integrations, and build a scalable analytics roadmap across WMS, TMS, OMS, ERP, and workforce management systems. • Apply predictive modeling, regression analysis, segmentation, and forecasting techniques to optimize labor planning, identify performance drivers, and inform operational strategy.

Job Requirements

  • Bachelor's degree in a quantitative or business field (e.g., Finance, Supply Chain, Industrial Engineering, Economics, Mathematics, or related discipline).
  • 8+ years of experience leading analytics projects with a focus on labor planning, workforce optimization, or operational efficiency, preferably in retail, ecommerce, or supply chain environments.
  • Experience leveraging AI tools or analytical frameworks to develop decision-support solutions for workforce or operational planning.
  • Strong SQL expertise, with the ability to build datasets and perform complex queries across multiple systems.
  • Hands-on experience with R, Python, or similar programming languages for building scalable data models and analytics solutions.
  • Experience structuring, cleaning, and visualizing data from WMS, TMS, OMS, ERP, or workforce management systems.
  • Experience applying advanced analytics techniques, including predictive modeling, regression analysis, forecasting, and trend segmentation, specifically for labor or operational planning.
  • Strong understanding of supply chain, fulfillment, and labor management concepts, including inventory management, capacity planning, workforce scheduling, service level metrics, and cost-to-serve analysis.
  • Strong written and verbal communication skills, including experience presenting to senior leadership and writing formal reports or white papers.
  • Proficiency in data visualization tools (e.g., Tableau) and advanced Excel.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

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