Chanel Advanced Analytics Manager
- Location
- Seniority
- Manager
- Posted
- Mar 16, 2026
About Chanel
Chanel is an independent, privately held global luxury house renowned for haute couture, ready-to-wear, accessories, fragrance and beauty. The brand combines heritage craftsmanship with a progressive approach to retail, digital commerce and client experience, maintaining a discreet but influential presence in the global luxury market.
Chanel in Seoul seeks an Advanced Analytics Manager to lead data science and analytics for retail, CRM and e‑commerce.
Role & Responsibilities
- Lead end-to-end analytics programmes that inform commercial strategy across retail, e‑commerce and CRM (customer segmentation, LTV, personalization, pricing and assortment).
- Translate business priorities into analytical roadmaps and deliverables; design experiments, build predictive models and produce actionable insights for senior stakeholders.
- Oversee development, validation and deployment of machine learning models and forecasting solutions, ensuring production readiness and performance monitoring.
- Manage, mentor and scale a multidisciplinary analytics team; recruit talent and foster rigorous analytical practices and reproducible workflows.
- Collaborate cross-functionally with Merchandising, Marketing, Retail Operations, IT and Digital teams to operationalize insights and track KPIs.
- Define data requirements and partner with data engineering to improve data quality, pipeline reliability and analytics tooling (ETL, feature stores, model serving).
- Present complex analyses and recommendations clearly to non-technical executives, and translate strategic decisions into measurable experiments.
Qualifications
- Degree in Statistics, Data Science, Mathematics, Computer Science, Economics or equivalent quantitative discipline; advanced degree preferred.
- Proven track record delivering analytical solutions in retail, luxury, fashion or consumer goods environments.
- Demonstrable people management experience with ability to hire, develop and scale analytics teams.
- Strong command of statistical modelling, forecasting, causal inference and machine learning methodologies.
- Excellent stakeholder management and communication skills; experience presenting to executive leadership and influencing cross-functional priorities.
Skills
Experience
Senior analytics professional with approximately 5+ years in analytics or data science and at least 1–2 years leading teams or major cross‑functional programmes; experience in retail, luxury, e‑commerce or CRM analytics preferred.
Education
Bachelor’s degree in a quantitative discipline required; Master’s degree or PhD in a relevant field preferred.
Workplace
This position is based in Seoul, Seoul, South Korea.
Culture
Chanel blends traditional savoir‑faire with modern retail and digital innovation, valuing discretion, excellence and creativity. The workplace emphasizes meticulous attention to detail, collaborative cross‑disciplinary work and a commitment to elevating client experience through data‑driven insight.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Chanel, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Science Manager», «Manager, Customer & Commercial Analytics», «Advanced Analytics Lead», «Manager, Data & Insights», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.