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Customer Experience Analyst
Job in
Vancouver, Clark County, Washington, 98662, USA
Listed on 2026-07-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-13
Job specializations:
-
Business
Business Intelligence, Data Analyst, Business Analyst
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.
- 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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