Data Analyst 3, Customer Feedback Analytics

Role Overview

The CX Measurement team transforms customer feedback into actionable insight through enterprise survey programs, measurement frameworks, and advanced analytics. The ideal candidate combines strong technical skills with curiosity, independent judgment, and a passion for storytelling with data.

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. Deliver end-to-end analysis, from defining the business question through recommendations and storytelling, connecting customer feedback with behavioral and operational measures.

Why It Might Be a Fit

The ideal candidate has strong analytical judgment, including the ability to validate results, understand limitations, and select appropriate statistical methods for the business question. They can translate complex text, behavioral, and operational data into concise insights and strategic recommendations, present them credibly to senior leaders, and gain alignment around action.

Requirements

• 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.

Benefits

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• 401k
• Medical/vision/dental/life/disability insurance options
• PTO accruals
• Holidays

Tagged as: Data Analysis