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Customer Experience Analyst

Job in Vancouver, Clark County, Washington, 98662, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • Business
    Business Intelligence, Data Analyst, Business Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 110000 USD Yearly USD 70000.00 110000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Map and optimize end-to-end customer journeys, identifying key touchpoints, pain points, and opportunities for improvement.
  • Design and manage Voice of Customer (VoC) programs (surveys, interviews, and feedback loops) to capture actionable customer insights.
  • Partner with internal stakeholders to curate agendas, presenters, and discussion leaders for executive briefings.
  • Design tailored customer experiences and briefing content for executive briefing center engagements.
  • Conduct monthly cross‑functional meetings driving recommendations, capturing notes and action items and driving timely follow‑up.
  • Define and track key performance indicators (KPIs) to measure the impact of CX initiatives and recommendations.
  • Monitor competitor activity and industry trends to inform CX opportunities and best practices.
  • Solve complex, ambiguous problems with sound judgment—selecting practical, creative solutions and working independently.
  • Lead moderate‑to‑high complexity projects, deliver clear executive‑ready readouts, and support operational and strategic planning.
Requirements
  • Bachelor’s degree (or higher) in Marketing, Business Administration, or a related field (or equivalent practical experience).
  • 4–7 years of relevant experience in customer experience, marketing insights, product/service management, project/program management, sales/channel, or related roles (or an advanced degree with 3–5 years of experience).
  • AI, Vibe Coding and data tools (e.g., Databricks; Microsoft Copilot; OpenAI).
  • Translating insights into actionable recommendations and strategies.
  • Customer Listening Tools (Qualtrics, Medallia, Sprinklr).
  • Storytelling and visualization of data analysis from multiple sources.
  • Journey Mapping.
  • Power BI (or similar data visualization tools).
  • Programming/data querying:
    Python, R, and SQL.
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