Data Analyst 3, Customer Feedback Analytics (Hybrid, Seattle)
Role Overview
The CX Measurement team uses enterprise survey programs, measurement frameworks, and analytics to turn customer feedback into actionable insights.
This analyst specializes in unstructured feedback, identifying drivers of satisfaction, customer friction, and opportunities across Nordstrom and Nordstrom Rack.
The role owns and improves text analytics approaches and uses LLMs and other AI tools as part of a broader customer-insight toolkit.
Key Skills for This Role
Full Job Posting
Role overview
The CX Measurement team uses enterprise survey programs, measurement frameworks, and analytics to turn customer feedback into actionable insights.
This analyst specializes in unstructured feedback, identifying drivers of satisfaction, customer friction, and opportunities across Nordstrom and Nordstrom Rack.
The role owns and improves text analytics approaches and uses LLMs and other AI tools as part of a broader customer-insight toolkit.
Responsibilities
- Develop and validate methods for comment classification, sentiment measurement, emerging issues, and root-cause analysis.
- Own and improve models, workflows, data sources, the customer-feedback taxonomy, and Medallia survey text analytics.
- Build repeatable datasets and self-service analysis tools with SQL, Python or R, and BigQuery.
- Deliver end-to-end analysis and recommendations, connecting feedback with engagement, trips, spend, and future behavior.
- Produce recurring, seasonal, event-based, and rapid-turn customer analyses.
- Partner with stakeholders to define needs, success measures, data access, priorities, and measurement approaches.
- Build business cases and support for analytical investments and roadmaps; collaborate across business, Technology, Product, and Analytics.
- Review code, develop shared standards, and mentor junior analysts on analytics, storytelling, and responsible AI use.
Qualifications
- Bachelor’s degree in a listed related field or equivalent experience.
- At least 5 years of data analytics, customer analytics, or related experience, including complex or ambiguous work.
- Strong SQL and hands-on BigQuery or similar cloud data experience.
- Python or R experience and experience analyzing unstructured text using NLP, LLMs, classification, or other text analytics tools.
- Strong analytical judgment, validation skills, and ability to communicate insights and recommendations to senior leaders.
- Experience influencing cross-team decisions and engaging stakeholders around analytical priorities.
Preferred experience
- GitHub or GitLab and Looker or Tableau experience.
- AI-assisted coding experience such as Claude Code is a plus.
- Experience with customer-feedback platforms or linking feedback with behavioral data is preferred.
Workplace
- The title identifies the role as hybrid in Seattle.
Compensation
- Pay range is USD 102,500–170,500 yearly; offers depend on location and other factors.
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