Note: The job is a remote job and is open to candidates in USA. Stord is a commerce-enablement and fulfillment company that combines technology with supply chain services to help brands deliver seamless consumer experiences. The Supply Chain Business Intelligence Analyst will build dashboards, analyze supply chain KPIs, and provide actionable insights to improve operational efficiency, cost optimization, and fulfillment performance.
Responsibilities
- Develop, maintain, and enhance BI dashboards and reports (Omni, Power BI, Tableau) 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 OTIF, fill rates, shrink, location accuracy, inventory turnover, and productivity
- 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.)
Skills
- 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 (Omni, 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, XLOOKUP, 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
- Experience with Python or R for advanced analytics
- Familiarity with ETL processes and data pipelines
- Exposure to machine learning applications in supply chain forecasting
Company Overview
Company H1B Sponsorship