Customer Experience Analyst
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Full-time
- Salary
- Not stated
- Categories
- Customer Support & Success
- Tech
- remote-countrydata
- Source
- jobicy
- First observed
- 2026-08-18 10:48 UTC
- Last seen
- 2026-09-19 13:45 UTC
- Source claims posted
- 2026-09-19 08:50 UTC
- Consecutive misses
- 0 of 10
What the posting says
We are looking for a Customer Experience Analyst to join our client — a globally recognized leader in the luxury hospitality sector. This is an enterprise-level project involving high-traffic web solutions and complex integrations. You will work in a dynamic environment, managing both large-scale initiatives and multiple concurrent small-scale projects to ensure a seamless digital experience for users worldwide.
In this role, you will lead the strategic design, implementation, optimization, and expansion of enterprise-scale digital CX capabilities within Qualtrics and complementary analytics platforms — bridging technical excellence with platform strategy.
JOB REQUIREMENTS
Must have:
3+ years of experience combining business and technology (CX, analytics, or platform roles)
Minimum 2 years deploying Qualtrics for enterprise clients
XM Discover expertise: building and maintaining categorization, sentiment, and journey models
XM metrics mastery: NPS, CSAT, CES, Sentiment enrichment, Effort scoring, and designing frameworks around them
Experience with dashboards, ticketing, and categorization models
3+ years architecting enterprise digital CX solutions
HTML/CSS and web architecture foundations
Foundational knowledge of AI technologies: machine learning, LLMs, RAG architectures, and agentic AI systems
Hands-on CX AI experience: evaluating, testing, or building AI/RAG/agentic capabilities (intelligent routing, automated responses, multi-step workflow automation, AI-powered analytics)
Qualtrics Certification (CXO or Designer/Architect equivalent)
Upper-Intermediate or Advanced English (B2+)
Nice to have:
Previous experience in luxury hospitality or premium retail sector
Salesforce experience
Databricks experience
Background in Marketing Technology (MarTech) or Digital Analytics
KEY RESPONSIBILITIES
Platform Architecture & Enterprise Deployment
QA troubleshooting of complex implementations and playbook establishment
Ensure data governance and taxonomy consistency across the enterprise
Own data pipelines and make integrity decisions
Platform Innovation Pipeline & Global Rollout
Own the innovation pipeline with co-innovation and PoC management
Build and maintain a testing and validation platform for new features
Orchestrate global rollout strategies with change management and adoption metrics
Own the roadmap for new technologies and capabilities — evaluate, recommend timing, and sequence adoption
Manage vendor partnerships aligned with the product roadmap
PROJECT
Customer: A globally recognized leader in the luxury hospitality sector — well-known brand, large-scale user base, and a great client relationship.
Type: Enterprise Hospitality / Digital CX Platform.
Product: Enterprise-scale digital CX capabilities built on Qualtrics and complementary analytics platforms, supporting high-traffic web solutions and complex integrations across global properties.
Stage: Active development with ongoing global rollout.
Work schedule: Full-time, fully remote.
INTERVIEW STAGES
Call with recruiter
Technical interview
Client technical interview
OUR BENEFITS
Projects with modern stack at a well-known global brand
Work from anywhere (fully remotely or in our offices in Lviv and Kyiv)
Paid vacations and sick-leaves, additional days-off, relocation bonus
Wellness: Medical insurance / sport compensation / health check-up + flu vaccination at your choice
Education: regular tech-talks, educational courses, paid certifications, English classes
Fun: own football team, budget for team-lunches, branded gifts
One of the best IT employers in Lviv based on DOU rating
Recruiter Yuliia Nochovna
Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 14 observation(s).
- + Days open - fineOpen for 32 days so far
- ! Reopen count - concerningReopened once
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineWent missing and reappeared once
Timeline
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#148076 2026-08-18 10:48 UTCPublished
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#188314 2026-08-19 16:10 UTCClosed
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#861924 2026-09-19 13:45 UTCReopened
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#861925 2026-09-19 13:45 UTCModified
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Posted at
2026-08-18 03:10 UTC->2026-09-19 08:50 UTC
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Posted at