Supply Chain Analyst

This role focuses on providing advanced analytics and business intelligence support for storage and distribution center and warehousing networks. You will use data, metrics, and visualization to tell compelling stories that guide strategic decisions, improve operational performance, and enhance the speed, cost, and resiliency of the inbound supply chain. You will collaborate closely with supply chain, product, technology, and research science teams to automate data gathering, standardize reporting, and deliver scalable analytical solutions. The position suits a self-starter with strong analytical abilities, excellent attention to detail, and a passion for working with large-scale data in a dynamic environment. Responsibilities Translate complex operational and business problems into clear analytical questions and structured analyses. Use analytical and statistical rigor to identify trends, patterns, and opportunities in supply chain and logistics data. Create and maintain best-in-class metrics, reports, dashboards, and data visualizations that drive data-informed decisions. Develop and deliver data-driven storytelling through written reports and verbal presentations to influence business outcomes. Adopt and enforce best practices in reporting and analysis, including defining data needs, ensuring data integrity, designing tests, conducting analysis, validating results, and documenting processes. Develop a deep understanding of available data resources, including which data sources to use, how to access them, and when they are most appropriate. Participate in weekly analytics sprints, executing reporting and analysis requests from a prioritized backlog. Work closely with requestors to clarify requirements, confirm understanding, and ensure the requested analyses and reports meet their needs. Generate new metrics, reporting sites, and dashboards to support distribution center performance, including KPIs, cost metrics, and productivity indicators. Execute assigned analytics tasks within each sprint, review outputs with stakeholders, gather feedback, and close requests once validated. Develop scalable models and tools that improve the speed and accuracy of decision making for the supply chain and analytics teams. Define, develop, and maintain critical business and operational reports reviewed on daily, weekly, and monthly cadences. Analyze historical data to identify trends and provide actionable recommendations, including delivering clear written and verbal summaries of findings. Essential Skills 2+ years of experience analyzing and interpreting data using advanced SQL, including the ability to write complex queries from scratch (candidates with slightly less experience may be considered with strong SQL skills). Hands-on experience working with relational and non-relational databases such as Redshift, Oracle, or NoSQL systems. Working knowledge of Python for data analysis, scripting, and automation. Experience with data visualization using Tableau, including building dashboards and interactive reports. Experience with data visualization using tools such as Tableau, QuickSight, or similar platforms. Experience with one or more industry-standard analytics and visualization tools such as Excel, Tableau, QuickSight, MicroStrategy, or Power BI. Work Environment This role is fully onsite, five days a week, in Bellevue, WA. Standard working hours are Monday through Friday from 8:00 a.m. to 5:00 p.m., with overtime as needed to meet business deadlines and support critical initiatives. You will work as part of an analytics team in a collaborative, cross-functional environment that emphasizes deep dives into data, weekly delivery of results, and strong customer obsession. The work involves frequent interaction with stakeholders across supply chain, product, technology, data engineering, and analytics teams, using modern data platforms, SQL databases, scripting languages, and visualization tools to support decision making and operational exc…

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