Data Analyst 3, Customer Feedback Analytics

Nordstrom

. Develop, test, and improve methods for classifying customer comments, measuring sentiment, and identifying emerging issues and root causes .

Posted 9/22/2026full-timeSeattle • Washington • United StatesMid-LevelSenior💰 $102,500 - $170,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, particularly in customer feedback analysis, utilizing SQL, Python/R, and BigQuery for scalable data solutions. Capable of translating complex data insights into strategic recommendations while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

SQLPython/RBigQueryNatural Language ProcessingData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsText AnalyticsStatistical MethodsSentiment AnalysisClassification MethodsData ValidationAnalytical JudgmentData VisualizationAI-Assisted CodingCustomer Feedback Analysis

Soft Skills

CollaborationMentoringCommunicationInfluencingInitiative

Tools & Technologies

LookerTableauGitHubGitLabMedallia

Industry Keywords

Customer AnalyticsConsumer InsightsBehavioral DataFeedback TaxonomyEmerging Trends

Tech Stack

Tools & technologies

BigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact

Develop, test, and improve methods for classifying customer comments, measuring sentiment, and identifying emerging issues and root causes
Establish validation standards through peer review, human-reviewed samples, and benchmarks
Own and improve models, workflows, data sources, and text analytics methods
Use SQL, Python/R, and BigQuery to build repeatable datasets and tools for scalable analysis and self-service exploration
Own the customer-feedback taxonomy and Medallia survey text analytics, including topic definitions, classification rules, sentiment, releases, and documentation
Deliver end-to-end analysis from business-question definition through recommendations and storytelling
Connect customer feedback with behavioral and operational measures such as engagement, trips, spend, and future behavior
Produce recurring, seasonal, event-based, and rapid-turn customer analyses, including emerging trends
Partner with stakeholders to uncover needs, define success, scope data access and effort, and align on measurement approaches and priorities
Build business cases and gain leadership support for analytical priorities, investments, and roadmap recommendations
Collaborate with business, Technology, Product, and Analytics teams to deliver solutions that increase the value and use of customer feedback
Collaborate through code review and shared standards
Mentor junior analysts on analytics, storytelling, and responsible use of LLM and AI tools

Requirements

What you’ll need

Bachelor’s degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, Consumer Insights, or 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
Strong analytical judgment and ability to validate results, understand limitations, and select appropriate statistical methods
Ability to translate complex data into concise insights and strategic recommendations and present them to senior leaders
Experience building support for analytical priorities, investments, or roadmaps and influencing decisions across multiple teams
Ability to engage cross-functional stakeholders, uncover business needs, assess data access and effort, and align partners
Experience with GitHub or GitLab
Experience with Looker or Tableau
Demonstrated initiative and independent judgment
Experience using AI-assisted coding tools such as Claude Code is a plus
Experience analyzing sentiment or other unstructured feedback; understanding of source, voice, tone, and context is preferred
Experience with customer-feedback platforms or connecting feedback with behavioral data is preferred

Benefits

Comp & perks

Medical/Vision
Dental
Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount
EAP Resources
Performance-based incentives/bonuses may be available
401k
PTO accruals
Holidays