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2 дня назад

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

102 500 - 170 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst 3, Customer Feedback Analytics (Hybrid, Seattle) (SQL/Python/R/BigQuery/LLM): Analyzing unstructured customer feedback to identify sentiment, friction, emerging issues, and root causes across Nordstrom and Nordstrom Rack with an accent on text analytics, validation, and connecting feedback to behavioral and operational data. Focus on building scalable datasets and workflows, evolving feedback taxonomies and models, and translating complex findings into strategic recommendations for senior leaders.

Location: Hybrid, Seattle, WA, US; 1600 7th Avenue, Seattle, Washington 98101

Salary: $102,500.00–$170,500.00 annual

Company

hirify.global operates hirify.global and hirify.global Rack retail businesses and uses customer feedback analytics to improve customer experiences and business decisions.

What you will do

  • 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 models, workflows, data sources, and analytical methods.
  • Use SQL, Python/R, and BigQuery to build repeatable datasets, scalable analysis tools, and self-service exploration workflows.
  • Own the customer-feedback taxonomy and Medallia survey text analytics, including topic definitions, classification rules, sentiment, releases, and documentation.
  • Deliver recurring, seasonal, event-based, and rapid-turn analyses that connect customer feedback with engagement, trips, spend, and future behavior.
  • Partner with business, Technology, Product, and Analytics teams to define needs and measurement approaches, build business cases, influence priorities and roadmaps, and mentor junior analysts.

Requirements

  • 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.
  • Strong analytical judgment, including validating results, understanding limitations, and selecting appropriate statistical methods.
  • Ability to translate complex text, behavioral, and operational data into concise insights and strategic recommendations, present them to senior leaders, and gain alignment.
  • 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, including managing competing priorities and influencing cross-functional partners.

Nice to have

  • Experience using AI-assisted coding tools such as Claude Code for analytical development and workflow automation.
  • Experience analyzing sentiment or other unstructured feedback, including how source, voice, tone, and context affect interpretation.
  • Experience with customer-feedback platforms or connecting feedback with behavioral data.

Culture & Benefits

  • Hybrid work arrangement in Seattle.
  • Medical, vision, dental, retirement, paid time away, life insurance, and disability benefits.
  • Merchandise discount and employee assistance resources.
  • 401(k), paid time off accruals, holidays, and other benefits subject to eligibility requirements.
  • Performance-based incentives or bonuses may be available.

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