Data Analyst 3, Customer Feedback Analytics

Nordstrom

Data Analyst specializing in analyzing unstructured customer feedback at Nordstrom. Transforming insights and improving business decisions through analytics and data storytelling.

Posted 7/31/2026full-timeSeattle • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $102,500 - $170,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, particularly in customer feedback analysis using SQL, Python/R, and LLMs. Proven ability to translate complex data into actionable insights and strategic recommendations while collaborating with cross-functional teams.

Highest-signal resume keywords

SQL ExpertisePython/R ProficiencyNatural Language ProcessingData Visualization ToolsCustomer Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsText AnalyticsStatistical MethodsSentiment AnalysisClassification MethodsData ManagementAnalytical JudgmentWorkflow AutomationPeer Review StandardsEmerging Trends Analysis

Soft Skills

Stakeholder EngagementInfluencing DecisionsMentoringStorytellingInitiative

Tools & Technologies

BigQueryLookerTableauGitHubGitLabClaude Code

Industry Keywords

Customer Feedback TaxonomyBehavioral DataOperational MeasuresData ScienceConsumer Insights

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, using LLMs and other text analytics tools where appropriate
Establish validation standards through peer review, human-reviewed samples, and benchmarks
Own and evolve current models, workflows, and data sources; challenge assumptions, evaluate new methods and tools, and independently design the next iteration
Use SQL, Python/R, and BigQuery to build repeatable datasets and tools that support 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 defining the business question through recommendations and storytelling, connecting customer feedback with behavioral and operational measures such as engagement, trips, spend, and future behavior
Produce recurring, seasonal, event-based, and rapid-turn customer analysis, including emerging trends
Partner with stakeholders to uncover needs, define success, scope data access and effort, and align on measurement approaches and priorities
Build clear 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 with other analysts 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, 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
Strong analytical judgment, including the ability to validate results, understand limitations, and select appropriate statistical methods for the business question
Proven ability to translate complex text, behavioral, and operational data into concise insights and strategic recommendations, present them credibly to senior leaders, and gain alignment around action
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 around a shared approach
Experience with version-control tools such as GitHub or GitLab and data visualization or reporting tools such as Looker or Tableau
Demonstrated initiative and independent judgment, with the ability to bring a clear point of view, remain open to different approaches, manage competing priorities, and influence cross-functional partners
Experience using AI-assisted coding tools such as Claude Code to support analytical development and workflow automation is a plus
Experience analyzing sentiment or other unstructured feedback, with an understanding of how source, voice, tone, and context affect interpretation; experience with customer-feedback platforms or connecting feedback with behavioral data preferred.

Benefits

Comp & perks

Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
This position may be eligible for performance-based incentives/bonuses
Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.