We're looking for a Customer Experience Analyst to join our team in Zurich, Switzerland, in a hybrid working mode.
Responsibilities
- Collaborate daily with Product Owners and the team to ensure execution of craft-specific deliverables
- Apply visual language and foundational design principles consistently across work products
- Facilitate and lead workshops with stakeholders to align on design and experience direction
- Conduct design research to uncover customer needs, pain points and improvement opportunities
- Tailor consultancy and design methods to the needs of the banking client
- Provide art direction to ensure visual consistency and quality standards
- Plan, structure and manage workshop content and outcomes
- Contribute craft-specific expertise to inform wider product and design decisions
Requirements
- Experience in a CX or design analyst role within a consultancy context
- Strong capabilities in applying visual language and foundational design principles
- Proven experience facilitating workshops with stakeholders and cross-functional teams
- Solid knowledge of design research methods and practical application
- Ability to adapt consultancy work to specific client needs, ideally in banking or financial services
- Strong art direction skills with attention to visual quality and consistency
- Proven ability to manage workshop planning and execution
- Strong collaboration skills with daily exposure to product and multi-disciplinary teams
- Clear and confident communication skills for internal and client-facing interactions
- Professional fluency in English
#J-18808-Ljbffr
Customer Experience (CX) Analyst Arbeitgeber: EPAM Systems
EPAM Systems ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in Zürich eine inspirierende Arbeitsumgebung bietet. Mit großzügigen Vorteilen wie fünf Wochen Urlaub und einem umfassenden Mitarbeiteraktienkaufplan fördert das Unternehmen eine positive Work-Life-Balance und unterstützt die berufliche Weiterentwicklung. Die hybride Arbeitsweise ermöglicht es den Mitarbeitern, flexibel zu arbeiten und gleichzeitig an innovativen Projekten im Bereich KI und Big Data teilzuhaben.
