CHANEL is a privately-owned company whose values are grounded in creating the conditions for people to perform at their best, feel fulfilled and confident in their work. We care deeply about our employees and strive to create a safe environment that values people’s humanity and uniqueness so that they are free to bring full selves to work and to their life’s calling.
Job Mission
Drive client-centric business growth by transforming client and commercial data into actionable insights and strategic recommendations. The Client Analytics Professional is responsible for developing a deep understanding of client behaviours, journeys, and performance drivers across channels, enabling data-driven decision-making to strengthen client acquisition, retention, loyalty, and omnichannel engagement.
This role also supports data-driven business initiatives by combining strong analytical capabilities with a solid understanding of data structures and client data platforms.
Key Responsibilities Client Insights & Analytics
●Monitor key client KPIs, including recruitment, retention, repeat purchase, frequency, spend, and category trends
●Analyse client behaviours, purchasing patterns, and engagement opportunities to drive client growth, retention, and commercial performance
●Conduct strategic and ad-hoc analyses to support business decision-making, including client segmentation, lifecycle analysis, omnichannel client behaviour, and special projects
●Evaluate the effectiveness of omnichannel initiatives, clienteling impact, events, and client activation programmes
●Translate complex data into actionable business insights and recommendations for the Intelligence Manager and cross-functional stakeholders
●Proactively identify business opportunities, risks, and emerging trends to support CX and commercial strategy
Data Management & Reporting
●Develop and maintain queries, reports, and data extraction processes to support recurring and ad-hoc business needs
●Understand and navigate data structures across client data platforms to ensure accurate and efficient data retrieval
●Develop and maintain dashboards and reporting tools to provide timely and accurate business insights
●Standardise KPI definitions, reporting methodologies, and data governance across dashboards and business functions
●Oversee data integrity, usage, and governance to ensure effective and compliant data utilisation
●Propose process improvements and best practices for client data collection, reporting workflows, and data quality management
Business Support & Collaboration
●Support business teams with data-driven requirements and campaign performance analysis
●Collaborate with local marketing and business teams to translate business needs into data-driven requirements and analytical frameworks
●Deliver post-campaign performance analysis, insights, and learnings to inform future business strategies
●Support business communication and client engagement initiatives with relevant data and analytical outputs as needed
Data Projects & Business Solutions
●Consolidate and prioritise local business requirements for FBP data projects
●Support the planning, coordination, and implementation of data initiatives in collaboration with local and regional teams, IT and external agencies
●Act as the business representative to ensure project requirements, timelines, and deliverables are aligned with business objectives
●Support the exploration, proof of concept, testing, and rollout of new capabilities and technology solutions to address local market needs
●Drive continuous improvement of data capabilities, reporting processes, and business tools to enhance operational efficiency and client experience
Role Specifications
5–8 years of experience in a customer-centric business environment, Client Experience, CRM, Client Analytics, Business Intelligence, Digital, Omnichannel, Consulting or a related data-centric function
●Proven experience in client analytics, business performance analysis, or CRM insights, with the ability to translate data into actionable business recommendations
●Strong understanding of data structures, relational databases, and data modelling concepts, with the ability to navigate complex data environments
●Experience with SQL or similar data query languages preferred
●Experience managing reporting, dashboards, and KPI frameworks, with a strong understanding of data governance and reporting best practices
●Experience with client data platforms or CRM tools (e.g., Salesforce, Marketing Cloud) is preferred
●Strong understanding of client engagement, omnichannel, and customer lifecycle management, preferably within the luxury retail or premium consumer industry
●Experience supporting cross-functional business initiatives or digital/data projects, working closely with business, IT, regional teams, and external partners
●Strong analytical skills with the ability to synthesise complex data into clear business insights and recommendations
●Bachelor’s degree in Business, Marketing, Data Analytics, Information Systems, Statistics, or a related field
자격요건
학력 및 전문 자격
●4년제 대학 졸업
필수 역량
●데이터를 통해 비즈니스 기회, 트렌드, 리스크를 식별하는 강력한 분석적, 비판적 사고 능력을 갖추고 있습니다.
●데이터 구조 및 데이터 아키텍처에 대한 확실한 이해를 바탕으로 복잡한 데이터 환경을 탐색하고 데이터 정확성을 보장합니다.
●분석 및 고객 인사이트를 비즈니스 성과 및 전략적 의사 결정과 연결하는 상업적 마인드를 보유하고 있습니다.
●비즈니스, 지역 및 기술 팀과 효과적으로 협력할 수 있는 뛰어난 의사소통 및 협업 능력을 갖추고 있습니다.
●빠르게 변화하는 환경에서 여러 우선순위를 관리하고 고품질의 결과물을 제공하는 강력한 프로젝트 관리 및 조직 능력을 갖추고 있습니다.
●지속적인 개선 마인드를 가진 매우 주도적이고 체계적이며 세부 지향적인 성향을 가지고 있습니다.
●여러 이해관계자를 관리하면서 독립적으로 업무를 수행할 수 있는 강력한 주인의식과 책임감을 갖추고 있습니다.
●디지털, 고객 분석, AI 및 신기술에 대한 열정을 가진 높은 호기심과 학습 민첩성을 보유하고 있습니다.
●가설에 도전하고 데이터를 활용하여 의사 결정을 지원하며 비즈니스 개선을 추진하는 데 거리낌이 없습니다.
Your role @ CHANEL
CHANEL is a privately-owned company whose values are grounded in creating the conditions for people to perform at their best, feel fulfilled and confident in their work. We care deeply about our employees and strive to create a safe environment that values people’s humanity and uniqueness so that they are free to bring full selves to work and to their life’s calling.
Job Mission
Drive client-centric business growth by transforming client and commercial data into actionable insights and strategic recommendations. The Client Analytics Professional is responsible for developing a deep understanding of client behaviours, journeys, and performance drivers across channels, enabling data-driven decision-making to strengthen client acquisition, retention, loyalty, and omnichannel engagement. This role also supports data-driven business initiatives by combining strong analytical capabilities with a solid understanding of data structures and client data platforms.
Key Responsibilities Client Insights & Analytics
• Monitor key client KPIs, including recruitment, retention, repeat purchase, frequency, spend, and category trends
• Analyse client behaviours, purchasing patterns, and engagement opportunities to drive client growth, retention, and commercial performance
• Conduct strategic and ad-hoc analyses to support business decision-making, including client segmentation, lifecycle analysis, omnichannel client behaviour, and special projects
• Evaluate the effectiveness of omnichannel initiatives, clienteling impact, events, and client activation programmes
• Translate complex data into actionable business insights and recommendations for the Intelligence Manager and cross-functional stakeholders
• Proactively identify business opportunities, risks, and emerging trends to support CX and commercial strategy
Data Management & Reporting
• Develop and maintain queries, reports, and data extraction processes to support recurring and ad-hoc business needs
• Understand and navigate data structures across client data platforms to ensure accurate and efficient data retrieval
• Develop and maintain dashboards and reporting tools to provide timely and accurate business insights
• Standardise KPI definitions, reporting methodologies, and data governance across dashboards and business functions
• Oversee data integrity, usage, and governance to ensure effective and compliant data utilisation
• Propose process improvements and best practices for client data collection, reporting workflows, and data quality management
Business Support & Collaboration
• Support business teams with data-driven requirements and campaign performance analysis
• Collaborate with local marketing and business teams to translate business needs into data-driven requirements and analytical frameworks
• Deliver post-campaign performance analysis, insights, and learnings to inform future business strategies
• Support business communication and client engagement initiatives with relevant data and analytical outputs as needed
Data Projects & Business Solutions
• Consolidate and prioritise local business requirements for FBP data projects
• Support the planning, coordination, and implementation of data initiatives in collaboration with local and regional teams, IT and external agencies
• Act as the business representative to ensure project requirements, timelines, and deliverables are aligned with business objectives
• Support the exploration, proof of concept, testing, and rollout of new capabilities and technology solutions to address local market needs
• Drive continuous improvement of data capabilities, reporting processes, and business tools to enhance operational efficiency and client experience
Role Specifications
5–8 years of experience in a customer-centric business environment, Client Experience, CRM, Client Analytics, Business Intelligence, Digital, Omnichannel, Consulting or a related data-centric function
• Proven experience in client analytics, business performance analysis, or CRM insights, with the ability to translate data into actionable business recommendations
• Strong understanding of data structures, relational databases, and data modelling concepts, with the ability to navigate complex data environments
• Experience with SQL or similar data query languages preferred
• Experience managing reporting, dashboards, and KPI frameworks, with a strong understanding of data governance and reporting best practices
• Experience with client data platforms or CRM tools (e.g., Salesforce, Marketing Cloud) is preferred
• Strong understanding of client engagement, omnichannel, and customer lifecycle management, preferably within the luxury retail or premium consumer industry
• Experience supporting cross-functional business initiatives or digital/data projects, working closely with business, IT, regional teams, and external partners
• Strong analytical skills with the ability to synthesise complex data into clear business insights and recommendations
• Bachelor’s degree in Business, Marketing, Data Analytics, Information Systems, Statistics, or a related field
자격 요건
학력 및 전문 자격
• 4년제 대학 졸업
필수 역량
• 데이터를 통해 비즈니스 기회, 트렌드, 리스크를 식별하는 강력한 분석적, 비판적 사고 능력을 갖추고 있습니다.
• 데이터 구조 및 데이터 아키텍처에 대한 확실한 이해를 바탕으로 복잡한 데이터 환경을 탐색하고 데이터 정확성을 보장합니다.
• 분석 및 고객 인사이트를 비즈니스 성과 및 전략적 의사 결정과 연결하는 상업적 마인드를 보유하고 있습니다.
• 비즈니스, 지역 및 기술 팀과 효과적으로 협력할 수 있는 뛰어난 의사소통 및 협업 능력을 갖추고 있습니다.
• 빠르게 변화하는 환경에서 여러 우선순위를 관리하고 고품질의 결과물을 제공하는 강력한 프로젝트 관리 및 조직 능력을 갖추고 있습니다.
• 지속적인 개선 마인드를 가진 매우 주도적이고 체계적이며 세부 지향적인 성향을 가지고 있습니다.
• 여러 이해관계자를 관리하면서 독립적으로 업무를 수행할 수 있는 강력한 주인의식과 책임감을 갖추고 있습니다.
• 디지털, 고객 분석, AI 및 신기술에 대한 열정을 가진 높은 호기심과 학습 민첩성을 보유하고 있습니다.
• 가설에 도전하고 데이터를 활용하여 의사 결정을 지원하며 비즈니스 개선을 추진하는 데 거리낌이 없습니다.
면접 준비 가이드
샤넬 면접 일반 가이드 — 메종 큐레이션 (이 공고의 공식 안내가 아닙니다)
면접 복장
미니멀하고 단정한 블랙 또는 네이비 정장이 무난합니다. 과한 로고나 화려한 액세서리는 피하고, 깔끔한 헤어와 절제된 메이크업으로 단정함을 보여 주세요. 샤넬 특유의 클래식하고 우아한 무드에 어울리는 인상을 준비하시면 좋습니다.
면접 팁
브랜드의 헤리티지와 창립자 스토리, 대표 라인에 대한 이해를 미리 정리해 두세요. 럭셔리 고객 응대나 VIP 관리에 대한 본인의 태도를 구체적인 사례로 설명할 수 있으면 유리합니다. '왜 다른 브랜드가 아닌 샤넬인지'를 본인 언어로 답할 수 있게 준비해 보세요.
오퍼 받으면 꼭 확인하세요
명품 리테일에서 자주 놓치는 4가지 — 기본급만 보고 결정하지 마세요.
인센티브 구조 — 산정 방식(개인/팀)·지급 주기·기본급 대비 실제 비중을 서면으로 확인하세요.
의류 지원 — 연간 한도·본인 부담 여부·시즌별 제공 방식이 계약에 명시됐는지 보세요.
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