Data Analyst 3, Supply Chain Inventory

Nordstrom

. Build, maintain, and evolve Looker dashboards and self-service tools for Merch Ops, Inbound Flow, RP, and Supplier Compliance .

Posted 10/2/2026full-timeSeattle • Washington • United StatesMid-LevelSenior💰 $102,500 - $170,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, including advanced SQL and BigQuery, while effectively building and maintaining data pipelines using Python and Airflow. Proficient in utilizing Looker for data visualization and presenting analytical findings to stakeholders.

Highest-signal resume keywords

Advanced SQL SkillsBigQuery ExperiencePython Data Pipeline DevelopmentLooker ProficiencyAirflow Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsSQLBigQueryPythonAirflowData WarehousingDimensional ModelingData Pipeline DevelopmentLookerAI-Assisted Tools

Soft Skills

Strong Communication SkillsPresentation SkillsAnalytical ThinkingCollaboration

Tools & Technologies

LookerBigQueryAirflowClaude CodeClaude Desktop

Industry Keywords

Supply ChainInventory FlowSupplier PerformanceReplenishmentRetailConsumer Goods

Tech Stack

Tools & technologies

AirflowBigQueryPythonSQL

About the role

Key responsibilities & impact

Build, maintain, and evolve Looker dashboards and self-service tools for Merch Ops, Inbound Flow, RP, and Supplier Compliance
Partner with business stakeholders to understand analytics needs and turn open-ended questions into reliable answers
Own data models and BigQuery queries behind inventory reporting
Build and maintain Python and Airflow pipelines that keep data fresh, validated, and monitored
Support migration from legacy reporting and data sources to Looker, BigQuery, and newer platform tools
Use AI-assisted tools such as Claude Code and Claude Desktop to accelerate analysis and automate repetitive workflows
Conduct ad hoc analysis of inventory, inbound, replenishment, and supplier trends
Present findings to business partners and leadership
Work with Data Engineering, Insights, and Technology teams on data dependencies and platform changes
Share knowledge, establish analytics-building and documentation standards, and help teammates use tools effectively

Requirements

What you’ll need

Degree in Finance, Statistics, Mathematics, Analytics, Computer Science, or related field required
4+ years of data analytics experience
Ability to deliver business-critical analytics independently and raise analytical standards across a team
Hands-on experience with AI-assisted development and productivity tools, such as Claude Code and Claude Desktop
Advanced SQL skills with hands-on BigQuery experience
Strong understanding of data warehousing, dimensional modeling, and query construction
Experience building and maintaining data pipelines and lightweight automation in Python
Hands-on Airflow experience for scheduling and orchestration
Proficiency with at least one leading visualization tool; Looker preferred
Strong operational business understanding, including inventory flow, supplier performance, and replenishment decisions
Supply chain expertise in retail or consumer goods preferred
Familiarity with inbound operations, inventory, replenishment, or supplier compliance
Strong written and verbal communication skills
Comfortable presenting findings to business stakeholders and operational leadership

Benefits

Comp & perks

Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
Performance-based incentives/bonuses may be available
401k
PTO accruals
Holidays
Accommodation assistance for applicants with disabilities