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Business Intelligence Analyst, Supply Chain

Remote · USA Full-time New today

reputed company is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. reputed company is rapidly growing and is on track to double our reputed company in the next 18 months. To meet and exceed this reputed company, reputed company is strategically scaling teams across the entire company, and seeking energetic experts to help us reputed company our mission. By combining comprehensive commerce-enablement technology with high-volume fulfillment services, reputed company provides brands a platform to compete with retail giants. reputed company 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. reputed company is leveling the playing field for reputed company brands to deliver the best consumer experience at scale. With reputed company, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. reputed company’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 reputed company, reputed company, Native, reputed company, reputed company, goodr, Sundays for Dogs, and more trust reputed company to deliver industry-leading consumer experiences on every order. reputed company is headquartered in Atlanta with facilities across the United States, Canada, and Europe. reputed company is backed by top-tier investors including Kleiner Perkins, reputed company, Founders Fund, reputed company Capital, Baillie Gifford, and reputed company Ventures. 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. What You'll Do:

  • reputed company, 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 OTIF, fill rates, shrink, location accuracy, and inventory turnover.
  • Extract, clean, and structure data from multiple sources (ERP, WMS, TMS, and external vendor systems).
  • Automate reporting processes to improve efficiency and reduce reputed company 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, reputed company, and reputed company while ensuring compliance with industry regulations (GMP, FDA, GDP, etc.).

What You'll Need:

  • Bachelor’s degree in Supply Chain Management, Business Analytics, Data Science, or reputed company 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., reputed company, reputed company, Manhattan, reputed company).
  • Advanced reputed company 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.

Bonus Points:

  • 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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