Chanel Advanced Analytics Manager — Fashion, North Asia
- Seniority
- Manager
- Posted
- Mar 16, 2026
About Chanel
Chanel is a privately held global luxury house renowned for haute couture, ready-to-wear, leather goods, watches, jewellery and beauty. As an employer, the brand emphasises artisanal excellence, creativity and discretion while operating with an international, client-centric approach across retail and digital channels.
Chanel — Advanced Analytics Manager, Fashion, North Asia (Hong Kong): lead analytics & data science for merchandising, CRM and retail performance across North Asia.
Role & Responsibilities
- Define and execute the advanced analytics strategy for Chanel’s fashion business across North Asia, aligning analytics deliverables with regional commercial priorities.
- Develop and deploy predictive models and forecasting frameworks for demand planning, inventory optimisation, pricing elasticity and assortment performance.
- Turn complex data into actionable commercial insights for Merchandising, Retail, CRM and Marketing teams, producing dashboards, regular reports and ad hoc analyses.
- Lead a small analytics/data science team: recruit, mentor, set objectives, and ensure high-quality delivery and professional development.
- Partner with IT and Data Engineering to shape analytics infrastructure, data pipelines and governance (cloud data platforms, BI tools, model deployment).
- Design and oversee experimentation and A/B testing to validate commercial initiatives and digital experiences.
- Communicate findings and influence senior stakeholders through clear storytelling, business cases and ROI analysis.
Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or related quantitative discipline; Master’s preferred.
- Proven track record of leading analytics projects in retail, luxury goods or fashion across the Asia region.
- Demonstrable experience managing a team of analysts/data scientists and partnering with cross-functional commercial stakeholders.
- Strong commercial acumen with a clear understanding of retail KPIs (sell-through, inventory turnover, margin, conversion).
- Ability to translate data science outputs into pragmatic recommendations and measurable business impact.
Skills
Experience
Typically 5+ years of progressive analytics or data science experience, with prior exposure to retail or luxury fashion and a minimum of 2 years in a people-management role or leading cross-functional analytics workstreams.
Education
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or a related quantitative discipline; Master’s degree or equivalent advanced qualification preferred.
Workplace
The role is situated in Hong Kong, Hong Kong, China.
Culture
The workplace culture privileges craftsmanship, discretion and excellence, blending heritage and innovation. Teams operate in an international, client-focused environment where cross-disciplinary collaboration and high commercial standards drive decision-making.
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 «Retail Analytics Manager — North Asia», «Manager, Data Science — Fashion North Asia», «Head of Advanced Analytics — Fashion (North Asia)», «Customer & Merchandising Analytics Manager», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.