Data Analyst , Supply Chain Inventory

Context: Nordstrom's MISO (Inventory) team is seeking a data analytics individual contributor to deliver inventory merchandising insights and strategic operational analytics.

• Build, maintain, and evolve Looker dashboards and self-service tools used by Merch Ops
  , Inbound Flow
  , RP
  , and Supplier Compliance
• Partner with business stakeholders to understand analytics needs and translate open-ended questions into clear, reliable answers
• Own data models and Big Query queries behind inventory reporting, emphasizing accuracy
  , scalability
  , and reuse
• Develop and maintain Python and Airflow pipelines to keep key datasets fresh
  , validated
  , and monitored
• Support migration from legacy reporting and data sources to Looker
  , Big Query
  , and newer platform tools while ensuring numbers carry over accurately
• Use AI-assisted tools such as Claude Code and Claude Desktop to speed analysis, automate repetitive workflows, and improve output quality
• Perform ad hoc analysis to explain inventory
  , inbound
  , replenishment
  , and supplier trends; present findings to business partners and leadership
• Coordinate with Data Engineering
  , Insights
  , and Technology teams on data dependencies and platform changes
• Share learnings with the team; help establish standards for building and documenting analytics and enable others to use the tools effectively

• Degree in Finance, Statistics, Mathematics, Analytics, Computer Science, or related field required
• 4+ years of data analytics experience with a demonstrated ability to deliver business-critical analytics independently and elevate analytical standards across a team
• Hands-on experience using AI-assisted development and productivity tools (e.g.,
  Claude Code
  , Claude Desktop
  ) to accelerate analysis and automate data workflows
• Advanced SQL skills with hands-on Big Query experience; strong understanding of data warehousing
  , dimensional modeling
  , and query construction
• Ability to build and maintain data pipelines and lightweight automation in Python
  , including validation, monitoring, and workflow scripts; hands-on Airflow experience for scheduling and orchestration
• Proficiency with at least one leading visualization tool;
  Looker preferred, including operational dashboarding best practices
• Strong operational business understanding of downstream effects across inventory flow, supplier performance, and replenishment decisions impacting cost and service
• Supply chain expertise in retail or consumer goods preferred, with familiarity in inbound operations, inventory, replenishment, or supplier compliance
• Strong written and verbal communication skills; comfortable presenting insights to business stakeholders and operational leadership

• Looker
• Big Query
• Python
• Airflow
• SQL
• Claude Code
• Claude Desktop

• Medical/Vision
• Dental
• Retirement
• Paid Time Away
• Life Insurance
• Disability
• Merchandise Discount
• EAP Resources
• 401k
• PTO accruals
• Holidays

• Location: Seattle, WA (hybrid)
• Compensation: USD 102, per year
• Pay offers depend on location and job-related knowledge, skills, and experience
• This position may be eligible for performance-based incentives/bonuses