Note: The job is a remote job and is open to candidates in USA. Nordstrom is a leading fashion retailer, and they are seeking a Data Analyst 3 to join their Store Operations Data Analytics team. The role involves managing data governance, providing insights for store operations initiatives, and collaborating with various stakeholders to improve store-level performance through data-driven solutions.
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
- 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
Skills
- 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 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
- 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
- Master's degree in Computer Science, Math, Engineering, Science, Business, or a related field with documented coursework in statistics or business analytics
- 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
Company Overview
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