Data Analyst 3, Customer Feedback Analytics

Jobtailor

Seattle (WA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Jobtailor is seeking a Senior Data Analytics professional to lead customer feedback analysis in Seattle. You will apply SQL, Python/R and NLP techniques to classify comments, measure sentiment, and identify trends.

You will own the feedback taxonomy and survey text analytics, delivering end-to-end analyses and strategic recommendations to senior leaders. You will collaborate with cross-functional teams, mentor junior analysts, and continuously evolve models and data sources to improve insights

Qualifications

Bachelor’s degree or equivalent experience in analytics or related field.
5+ years of data analytics experience, including complex/ambiguous work.
Strong SQL skills; hands-on BigQuery or similar cloud data environment.
Python/R experience for analysis, testing methods, or automation.
Experience with unstructured text analysis using NLP/LLMs/classification methods.
Ability to validate results, understand limitations, and select appropriate statistics.
Ability to translate data into concise insights and strategic recommendations for senior leaders.
Experience building support for analytics priorities and influencing cross-team decisions.
Ability to engage stakeholders, assess data access/effort, and align on approach.
Experience with version-control tools (GitHub/GitLab) and data viz tools (Looker/Tableau).
Demonstrated initiative, independent judgment, and ability to manage priorities.
Experience with AI-assisted coding tools (Claude Code) is a plus.
Experience analyzing sentiment or unstructured feedback and connecting feedback to behavioral data.

Responsibilities

Develop, test, and improve methods for classifying customer comments and measuring sentiment using LLMs and other text analytics tools.
Establish validation standards through peer review, samples, and benchmarks.
Own and evolve models, workflows, and data sources; design next iteration independently.
Use SQL, Python/R, and BigQuery to build repeatable datasets and tools for self-serve exploration.
Own customer-feedback taxonomy and survey text analytics, including definitions and releases.
Deliver end-to-end analysis from business question to recommendations and storytelling.
Produce recurring and event-based analyses, including emerging trends.
Partner with stakeholders to define success, scope data access, and align on approaches.
Build business cases and gain leadership support for analytics priorities and roadmap.
Collaborate with Business, Technology, Product, and Analytics teams to deliver value.
Mentor junior analysts on analytics, storytelling, and responsible AI use.
Collaborate with analysts through code reviews and shared standards.

Skills

SQL Expertise

Python/R Proficiency

NLP / Text Analytics

Statistical Methods

Analytical Judgment

Storytelling

Stakeholder Engagement

Mentoring

Cross-functional Collaboration

Workflow Automation

Education

Bachelor’s degree in Analytics, Data Science, Statistics, Mathematics, CS, or related field

Tools

BigQuery

Looker

Tableau

GitHub

GitLab

Claude Code

Job description

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

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.

Core Competencies

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.

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