At Nordstrom, we empower our employees to set their sights high and blaze their own trails. This is a place where your success and growth are truly a result of your own efforts and achievements.

Our teams are made up of motivated people who work hard to become leaders within the company, at all levels of the organization. These well-traveled paths show how hard work, loyalty, a competitive spirit and your unwavering commitment to the customer can take you and your career to new places.

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 GitHub 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 recommendation using data analysis

Mentor and support junior analysts (DA1/DA2) on LookML development, SQL best practices, data validation techniques, and AI-assisted workflows; contribute to team knowledge base and SOPs

QUALIFICATIONS:

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), with a track record of translating data into actionable business recommendations

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 for operational or retail reporting

Bachelor’s degree (Master’s preferred) 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; comfort working alongside AI as a standard part of the development workflow is required

Strong SQL skills required; experience with Google Cloud Platform (BigQuery) preferred; Python or other scripting languages a plus

Ability to be flexible and work in a fast-paced and dynamic organization

Clear and effective written and verbal communication for individuals at all levels of analytical expertise

Demonstrated ability to communicate complex data findings to non-technical stakeholders across all levels of the organization

High degree of working knowledge of Microsoft Office Suite

Solid organizational skills including attention to detail and multitasking skills

The ability to find innovative ways to resolve problems

Retail industry experience a plus