This listing doesn't post a salary. Most similar roles pay
$126,800–$198,087.
Based on 240 similar postings.
Employer
About Nordstrom
Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail
Nordstrom currently has
43 open roles
on FindRole.
Listed pay typically runs
$142,000–$220,500
across 26 roles with salary data.
The Data Analyst 3, Customer Feedback Analytics joins the CX Measurement team to transform unstructured customer feedback into actionable insights for Nordstrom and Nordstrom Rack. This role focuses on uncovering the reasons behind customer experiences, identifying friction points, and highlighting opportunities through advanced analytics. You will develop methods for classifying comments, measuring sentiment, and identifying root causes using LLMs and other text analysis tools. Responsibilities include managing the customer-feedback taxonomy, building repeatable datasets in BigQuery, and performing end-to-end analysis to connect feedback with behavioral metrics like spend and engagement. The role requires proficiency in SQL, Python or R, and version-control tools like GitHub or GitLab. You will also use visualization tools such as Looker or Tableau to translate complex data into clear narratives for stakeholders while mentoring junior analysts on analytics and storytelling.
What does a Data Analyst earn?
Median $128750 from 58 postings across 20 companies.
Develop and improve methods for classifying customer comments and measuring sentiment using LLMs and text analytics tools.
Establish validation standards through peer review, human-reviewed samples, and performance benchmarks.
Use SQL, Python, or R to build repeatable datasets and automated tools in BigQuery.
Manage the customer-feedback taxonomy, including topic definitions, classification rules, and documentation.
Deliver end-to-end analysis that connects customer feedback with behavioral metrics like spend and engagement.
Produce recurring, seasonal, and rapid-turn reports to identify emerging trends and root causes.
Partner with stakeholders to define project scope, data access requirements, and measurement priorities.
Build business cases to gain leadership support for analytical investments and roadmap recommendations.
What we're looking for
Bachelor's degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, Consumer Insights, or a related field, or equivalent experience.
5+ years of experience in data analytics, customer analytics, or a related field, including independently managing complex or ambiguous analytical work.
Strong SQL skills and hands-on experience with BigQuery or a similar cloud-data environment.
Experience using Python/R to conduct analysis, test methods, or automate repeatable work.
Experience analyzing unstructured text using natural language processing, LLMs, classification methods, or other text analytics tools.
Proven ability to translate complex data into concise insights and strategic recommendations for senior leaders.
Experience with version-control tools such as GitHub or GitLab and data visualization tools like Looker or Tableau.
Experience using AI-assisted coding tools such as Claude Code is a plus; experience with customer-feedback platforms is preferred.