below marketmost similar roles pay hereabove market
This role pays less than
64%
of similar roles. Most pay
$126,800–$203,150
— the blue band above.
At the midpoint, this role pays about
$136k
versus about
$165k
for comparable roles.
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
69 open roles
on FindRole.
Listed pay typically runs
$166,000–$258,000
across 25 roles with salary data.
The Data Analyst 3, Customer Feedback Analytics joins the CX Measurement team to transform unstructured customer feedback into actionable insights. This role focuses on uncovering the reasons behind customer experiences, identifying friction points, and uncovering opportunities across Nordstrom and Nordstrom Rack. You will develop and improve methods for classifying comments, measuring sentiment, and identifying root causes using LLMs and other text analytics tools. Daily tasks include building repeatable datasets, owning the customer-feedback taxonomy, and translating complex findings into strategic recommendations. You will utilize SQL, Python, R, and BigQuery to conduct analysis and automate workflows. Key competencies include natural language processing, statistical methods, and data storytelling. You will also manage Medallia survey text analytics and collaborate with cross-functional teams to align measurement approaches and business priorities.
What does a Data Analyst earn?
Median $126750 from 71 postings across 18 companies.
Develop and improve methods for classifying customer comments and measuring sentiment using LLMs and text analytics tools.
Establish validation standards for data through peer reviews, human-reviewed samples, and performance benchmarks.
Use SQL, Python, and BigQuery to build repeatable datasets and tools for scalable self-service analysis.
Own the customer-feedback taxonomy, including topic definitions, classification rules, and sentiment documentation.
Deliver end-to-end analysis connecting customer feedback with behavioral and operational measures like spend and engagement.
Produce recurring, seasonal, and rapid-turn customer analysis to identify emerging trends and root causes.
Partner with stakeholders to define business needs, scope data access, and align on measurement priorities.
Build business cases to gain leadership support for analytical priorities, 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.
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.
Experience with version-control tools such as GitHub or GitLab and data visualization tools such as Looker or Tableau.
Experience using AI-assisted coding tools such as Claude Code to support analytical development and workflow automation (preferred).
Experience with customer-feedback platforms or connecting feedback with behavioral data (preferred).
Customer Data Platform (CDP)
SQL
APIs
Data Pipelines
GitHub
VS Code
Command-line
Claude Code
GitHub Copilot
Cursor
Salesforce Marketing Cloud
Adobe Journey Optimizer
Segment
Treasure AI
Branch
AppsFlyer
Data Quality