Data Analyst 3, Supply Chain Inventory

Nordstrom; Seattle (WA); Hybrid; USD 103,000 - 171,000; Full time

Benefits offered by this job

Medical/Vision

Dental

Retirement

Paid Time Away

Life Insurance

Disability

Merchandise Discount

EAP Resources

401k

PTO accruals

Holidays

Job summary

Nordstrom is seeking a data analytics individual contributor to deliver inventory merchandising insights and strategic operational analytics from Seattle. You will build Looker dashboards, own data models in BigQuery, and develop Python and Airflow pipelines to keep datasets fresh and accurate.

Collaboration with Merch Ops, Inbound Flow, RP, and Supplier Compliance is essential to translate business questions into reliable insights.

Qualifications

• 4+ years of data analytics experience delivering business-critical analytics independently.
• Experience using AI-assisted development tools (Claude Code/Claude Desktop) to accelerate analysis.
• Advanced SQL skills with BigQuery and data warehousing knowledge.

Responsibilities

• Build, maintain, and evolve Looker dashboards and self-service tools used by Mer ch Ops, Inbound Flow, RP, and Supplier Compliance.
• Partner with business stakeholders to translate analytics needs into clear answers.
• Own data models and BigQuery queries behind inventory reporting with a focus on accuracy and scalability.
• Develop and maintain Python and Airflow pipelines to keep datasets fresh and monitored.
• Support migration from legacy sources to Looker/BigQuery and newer platforms while ensuring numbers carry over accurately.
• Use Claude Code and Claude Desktop to speed analysis and automate workflows.
• Perform ad hoc analysis on inventory, inbound, replenishment, and supplier trends; present findings to leadership.
• Coordinate with Data Engineering, Insights, and Technology on data dependencies and platform changes.
• Share learnings and help establishing standards for analytics.

Skills

Looker

BigQuery

Python

Airflow

SQL

Claude Code

Claude Desktop

Data analytics

Stakeholder communication

Education

Degree in Finance/Statistics/Mathematics/Analytics/CS

Tools

Looker

BigQuery

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