Senior Data Analyst- Supply Chain Finance (Hybrid- Seattle, WA)

Our Supply Chain Finance team works in partnership with other areas of the Company to equip our business partners with the tools, automation, and reporting they need to support timely decision making.  As Nordstrom continues to drive business growth across its entire business portfolio, the need for clear, automated, and actionable insights has never been greater. 

As an integral part of the Supply Chain Finance team, the Data Analyst 3 is responsible for leveraging databases, SQL, planning tools, and visualization platforms such as Looker to design, deliver, and maintain scalable reporting solutions. You will combine technical expertise with a strong understanding of accounting principles, P&L management, and financial reporting to ensure that automated insights align with business realities. Your work will enable data-driven storytelling and empower leaders to make informed decisions, continuously raising the bar on our business intelligence capabilities within the supply chain. 

A day in the life: 

• Develop and maintain automated reporting solutions using resources that leverage Oracle, Anaplan, Alteryx, SQL, and Looker  

• Partner with finance, accounting, and supply chain teams to translate business requirements into BI solutions that support P&L management and financial reporting  

• Drive automation initiatives to reduce manual processes and improve reporting accuracy, timeliness, and scalability  

• Provide actionable insights through dashboards, visualizations, and advanced analytics to support decision-making across the entire business  

• Ensure financial data integrity and alignment with accounting standards while supporting operational efficiency  

• Continuously evaluate and enhance BI tools, processes, and methodologies to meet evolving supply chain business needs 

You own this if you have: 

• Bachelors degree in quantitative field such as Computer Science, Mathematics, Statistics.  Or equivalent combination of experience and education. 

• 3+ years’ professional experience in analytics working with large data sets (i.e. more than Excel can handle).  Preference for supply chain finance or supply chain operations experience. 

• Proficiency with databases, data warehousing technologies, SQL, and Looker or similar BI visualization tools 

• Strong data manipulation, data mining, and modeling skills 

• Experience ingesting data from multiple sources (SQL tables, flat files) in multiple formats (json, csv, txt, etc.) 

• Excellent communication skills to summarize insights and provide recommendations to various levels of the organization