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Data Analyst - Store Operations

Job in Seattle, King County, Washington, 98101, USA
Listing for: Nordstrom
Full Time position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
Position: Data Analyst 3 - Store Operations

Data Analyst 3

The Data Analyst 3 is a lead member of the Store Operations Data Analytics team which owns the acquisition and delivery of data and insights for Store Operations initiatives impacting Nordstrom and Nordstrom Rack stores. The ideal candidate can think strategically and creatively about the needs of the business, build productive relationships with a diverse array of stakeholders, and provide ongoing data support that will produce quantitative analysis, drive meaningful action, and improve store-level performance.

This individual operates as a Looker developer and AI-native analyst — building, maintaining, and continuously improving a modern reporting suite powered by Looker and accelerated by AI tools including Claude. They will keep a constant pulse on all Store Operations initiatives and priorities and influence change through compelling, accurate, and timely data delivery.

The ideal candidate is a self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. The individual should be highly curious about how the business works and possess the skills to unlock rich, nuanced insights from complicated data and communicate those insights in a way that drives positive business outcomes. Proficiency with Looker (LookML development, Explores, dashboards) and active use of AI tools — particularly Claude — for development acceleration, analysis, and workflow automation are required competencies for this role.

Store Operations Responsibilities:

  • Own "the truth" in Store Operations data through governance and process including the acquisition, management, automation, and integrity of all data
  • Champion the data needs and priorities of the HQ Store Operations team, coordinating with key business/data/tech partners across the Nordstrom organization
  • Own requirements gathering for Store Operations Looker projects; document business needs, metric definitions, and stakeholder sign-off in alignment with SODA SOP standards prior to development
  • Maintain and improve the SODA Looker reporting suite, proactively identifying gaps, deprecating legacy content, and applying AI-assisted workflows to drive continuous improvement

Key Responsibilities:

  • Collaborate with team members and business partners to deliver high quality solutions and recommendations to a variety of problems
  • Dive deep into complex business problems and provide insights on performance through hypothesis testing and monitoring trends in key metrics
  • Develop and manage the environment of reports and analysis delivering a simple and organized user access and experience
  • Maintains consistent Jira hygiene including daily worklogging, real-time ticket updates, active sprint participation, and proactive communication of blockers and timeline risks before deadlines are missed.
  • Experience writing custom LookML dimensions and measures including conditional logic, type casting, and field-level governance; ability to debug Explore SQL and validate output against source systems
  • Design, build, and maintain Looker dashboards and Explores using LookML; leverage AI tools including Claude to accelerate development, validate data accuracy, and improve delivery speed
  • Validate data accuracy throughout development by cross-referencing outputs against source systems; document validation steps and findings in Jira per SODA data validation SOP
  • Demonstrate ability to submit, manage, and iterate on Git Hub pull requests through the full lifecycle — from initial submission through internal code review participation, feedback response, merge conflict resolution, and final deployment; operates in alignment with Nordstrom LookML Coding Standards and holds a high bar for production-ready quality before merge.
  • Support the analysis and diagnosis around business performance and provide expert guidance to improve results
  • Use advanced analytical and statistical practices to create thorough and actionable insights
  • Excel at compelling story telling with data, providing clear insights that bring facts to support business hypothesis and anecdotes
  • Influence leadership and program management through fact-based…
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