Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.

By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.

With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.

Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.

We are seeking a highly analytical Business Intelligence Analyst with a strong focus on labor planning and operational workforce analytics to serve as the strategic data partner for our Supply Chain & Fulfillment organization.

In this role, you will bridge the gap between complex operational data sets and executive decision-making, specifically driving insights into workforce productivity, scheduling efficiency, and labor cost optimization. You will own the end-to-end analytics lifecycle—from ingesting warehouse, transportation, inventory, and order data to building sophisticated analytics that optimize labor deployment, service levels, throughput, and margin.
This is not just a reporting role; you will help build the “Control Tower” that enables real-time visibility, performance optimization, and data-driven decision-making across our fulfillment network, with a particular emphasis on labor management and planning.

What You’ll Do:

Labor Planning & Workforce Analytics:

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.

Control Tower Development:

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.

Operational Performance & Cost Optimization:

Develop automated auditing and monitoring tools to identify labor cost inefficiencies, margin leakage, productivity gaps, and service risks across warehousing, transportation, and inventory operations.

Inventory & Network Analytics:

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.

Data Integrity & Systems Strategy:

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.

Advanced Analytics & Decision Support:

Apply predictive modeling, regression analysis, segmentation, and forecasting techniques to optimize labor planning, identify performance drivers, and inform operational strategy.

Basic Qualifications:

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.

Bonus Points:

Advanced degree (e.g., Master’s in Analytics, Business, Supply Chain, Industrial Engineering, or related field).
Experience with workforce management systems (WFM/WMS integration) or labor optimization software.

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