Business Intelligence Analyst

Stord is the leading commerce enablement provider of fulfillment services and technology that powers seamless checkout and delivery experiences for high-volume mid-market and enterprise brands across all channels. Stord manages over $5 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. With Stord, brands can sell more, save money, and reduce headaches.

With Stord, brands can increase cart conversion, improve unit economics, and drive 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, Native, Tula, American Giant, and more trust Stord to make their supply chains a competitive advantage. 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, and Salesforce Ventures.

Profile applies to Supply Chain BI Analyst or Parcel BI Analyst.

We are seeking a highly analytical and detail-oriented Supply Chain BI Analyst to drive data-driven decision-making across our supply chain operations. This role will focus on building dashboards, analyzing key supply chain KPIs, and providing actionable insights to improve operational efficiency, cost optimization, and fulfillment performance.

Please note: this role is not eligible for additional visa sponsorship at this time.

Key Responsibilities

• Develop, maintain, and enhance BI dashboards and reports (Power BI, Tableau, DOMO) to monitor supply chain performance.
• Analyze large datasets to identify trends, bottlenecks, and opportunities in inventory management, order fulfillment, and supplier performance.
• Collaborate with supply chain, logistics, and operations teams to improve key metrics such as OnTime Delivery, Ship to Deliver performance, Delivery Exceptions, etc.
• Extract, clean, and structure data from multiple sources (ERP, WMS, TMS, and external vendor systems).
• Automate reporting processes to improve efficiency and reduce manual efforts.
• Support cost optimization initiatives by analyzing spend patterns, forecasting demand, and improving freight and distribution strategies.
• Work closely with cross-functional teams (Finance, Operations, Procurement, and IT) to align data insights with business objectives.
• Maintain data accuracy, integrity, and security while ensuring compliance with industry regulations (GMP, FDA, GDP, etc.).
  
  

Required Qualifications

• Bachelor’s degree in Supply Chain Management, Business Analytics, Data Science, or related field.
• 2+ years of experience in data analysis, business intelligence, or supply chain analytics.
• Proficiency in BI tools (Power BI, Tableau, DOMO, Looker).
• Strong SQL skills to extract and manipulate data from multiple systems.
• Experience working with ERP, WMS, and TMS systems (e.g., SAP, Oracle, Manhattan, Blue Yonder).
• Advanced Excel skills (PivotTables, VLOOKUP, Power Query).
• Understanding of supply chain concepts such as demand planning, inventory optimization, and logistics KPIs.
• Strong communication skills to present data insights to non-technical stakeholders.
  
  

Preferred Qualifications

• Experience with Python or R for advanced analytics.
• Familiarity with ETL processes and data pipelines.
• Exposure to machine learning applications in supply chain forecasting.