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Job Description

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

Responsibilities

  • 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 BigQuery 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, BigQuery, 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

Requirements

  • 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 BigQuery 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

Technologies

  • Looker
  • BigQuery
  • Python
  • Airflow
  • SQL
  • Claude Code
  • Claude Desktop

Benefits

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

Additional Details

  • Location: Seattle, WA (hybrid)
  • Compensation: USD 102,500 - 170,500 per year
  • Pay offers depend on location and job-related knowledge, skills, and experience
  • This position may be eligible for performance-based incentives/bonuses

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