Data Analyst 3 - Store Operations

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.

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; Own requirements gathering for Store Operations Looker projects; Maintain and improve the SODA Looker reporting suite; Collaborate with team members and business partners to deliver high quality solutions; Dive deep into complex business problems and provide insights through hypothesis testing and monitoring trends; Develop and manage the environment of reports and analysis; Maintain consistent Jira hygiene; Experience writing custom LookML dimensions and measures including conditional logic, type casting, and field-level governance; Design, build, and maintain Looker dashboards and Explores using LookML; Validate data accuracy throughout development by cross-referencing outputs against source systems; Demonstrate ability to submit, manage, and iterate on GitHub pull requests; Support the analysis and diagnosis around business performance; Use advanced analytical and statistical practices to create actionable insights; Excel at compelling storytelling with data; Influence leadership and program management through fact-based recommendation; Mentor and support junior analysts on LookML development, SQL best practices, data validation techniques, and AI-assisted workflows

Requirements

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; 3-5 years of professional experience querying, transforming, and analyzing large operational datasets using SQL and cloud-based data platforms (e.g., Google Cloud Platform / BigQuery); 3-5 years of experience in development, manipulation, and management of large data sets from various relational databases using SQL; 3-5 years of hands-on Looker development experience, including LookML authoring, Explore configuration, and dashboard design; Bachelor’s degree in Computer Science, Math, Engineering, Science, Business, or a related field with documented coursework in statistics or business analytics; Demonstrated experience using AI tools (e.g., Claude, Claude Code) for development acceleration, code generation, data validation, and workflow automation; Strong SQL skills required; Ability to be flexible and work in a fast-paced and dynamic organization; Clear and effective written and verbal communication; Demonstrated ability to communicate complex data findings to non-technical stakeholders; High degree of working knowledge of Microsoft Office Suite; Solid organizational skills including attention to detail and multitasking skills; Ability to find innovative ways to resolve problems

Nice to have

Master’s degree; Experience with Google Cloud Platform (BigQuery); Python or other scripting languages; Retail industry experience

Benefits

Medical/Vision; Dental; Retirement and Paid Time Away; Life Insurance and Disability; Merchandise Discount and EAP Resources; Performance-based incentives/bonuses; 401k; medical/vision/dental/life/disability insurance options; PTO accruals; Holidays