Data Analyst 3, Customer Feedback Analytics (Hybrid, Seattle)

Relha LLC; Seattle, Northern (WA, KY); Hybrid; USD 103,000 - 171,000; Full time

Benefits offered by this job

Medical/Vision/Dental and Retirement

Paid Time Away

Life Insurance & Disability

Merchandise Discount & EAP

Job summary

Nordstrom is seeking a Data Analyst 3 in Seattle to transform unstructured customer feedback into actionable insights. You will own text analytics, build repeatable datasets with SQL/Python/BigQuery, and translate results into leadership-ready recommendations.

You will lead method development for sentiment, topics, and emerging issues using LLMs, collaborating across CX, Tech, Product, and Analytics teams to improve customer experiences and business impact.

Qualifications

• 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.

Responsibilities

• 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

Skills

SQL

Python/R

BigQuery

Looker/Tableau

Communication

Storytelling with data

Stakeholder management

Text analytics

Statistical methods

LLMs / AI tooling

Education

Bachelor’s degree in Analytics/Data Science/Statistics/Mathematics/Computer Science/Consumer Insights

Tools

GitHub/GitLab

Looker

Tableau

Medallia

Job description

Data Analyst 3, Customer Feedback Analytics (Hybrid, Seattle)

The CX Measurement team transforms customer feedback into actionable insight through enterprise survey programs, measurement frameworks, and advanced analytics. We are looking for a Data Analyst 3 who will specialize in analyzing unstructured customer feedback to uncover the “why” behind customer experiences — what drives satisfaction, where friction occurs, and where opportunities exist across Nordstrom and Nordstrom Rack.

The ideal candidate combines strong technical skills with curiosity, independent judgment, and a passion for storytelling with data. This hands-on role will own and improve CX Measurement's text analytics approach, translate complex findings into clear and trusted customer insights, and help shape how Nordstrom analyzes and uses customer feedback to inform business decisions. LLMs and other AI tools are part of the analytical toolkit; the core of the role is customer insight, analytical rigor, and business impact.

A Day in the Life…

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

You Own This If You Have…

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.

The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.

Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.

$102,500.00 - $170,500.00 Annual

Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:

Medical/Vision, Dental, Retirement and Paid Time Away

Life Insurance and Disability

Merchandise Discount and EAP Resources

A few more important points...

The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.

For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.

Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.

Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines.

Applications are accepted on an ongoing basis.