24 часа назад
Supply Chain Business Intelligence Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Supply Chain Business Intelligence Analyst (BI/SQL): Building dashboards and analyzing supply chain data to improve inventory management, fulfillment performance, supplier operations, and cost efficiency with an accent on KPI analysis, data integration, and reporting automation. Focus on extracting and structuring data from ERP, WMS, TMS, and vendor systems, forecasting demand, and identifying operational bottlenecks.
Location: Remote, United States
Company
provides commerce-enablement technology and high-volume fulfillment services, including fulfillment, warehousing, transportation, OMS, pre- and post-purchase, and WMS platforms.
What you will do
- Develop, maintain, and enhance supply chain dashboards and reports using Omni, Power BI, Tableau, DOMO, and Looker.
- Analyze datasets to identify trends, bottlenecks, and opportunities in inventory management, order fulfillment, and supplier performance.
- Collaborate with supply chain, logistics, operations, Finance, Procurement, and IT teams to improve OTIF, fill rates, shrink, location accuracy, inventory turnover, and productivity.
- Extract, clean, structure, and validate data from ERP, WMS, TMS, and external vendor systems.
- Automate reporting and support cost optimization through spend analysis, demand forecasting, and improved freight and distribution strategies.
- Maintain data accuracy, integrity, and security while supporting compliance with GMP, FDA, GDP, and related industry regulations.
Requirements
- Bachelor’s degree in Supply Chain Management, Business Analytics, Data Science, or a related field.
- 2+ years of experience in data analysis, business intelligence, or supply chain analytics.
- Strong SQL skills and proficiency with BI tools such as Omni, Power BI, Tableau, DOMO, or Looker.
- Experience with ERP, WMS, and TMS systems, such as SAP, Oracle, Manhattan, or Blue Yonder.
- Advanced Excel skills, including PivotTables, XLOOKUP, and Power Query.
- Understanding of demand planning, inventory optimization, logistics KPIs, and communicating insights to non-technical stakeholders.
Nice to have
- Experience with Python or R for advanced analytics.
- Familiarity with ETL processes and data pipelines.
- Exposure to machine learning applications in supply chain forecasting.
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