Chanel Manager, People Data & Analytics
- Seniority
- Manager
- Department
- Human Resources, People & Culture
- Industry
- Fashion, Apparel & Leather Goods
- Posted
- May 17, 2026
About Chanel
Chanel is an independent, privately held French house renowned for haute couture, ready-to-wear, accessories and beauty. The brand combines artisanal craftsmanship with a global luxury retail network and a discreet, performance-oriented corporate culture; as an employer it offers the scale and complexity of an international fashion maison while valuing creativity, precision and brand heritage.
Chanel — Manager, People Data & Analytics (North Asia & SEAA) in Hong Kong. Lead regional people analytics, workforce planning and HR data strategy.
Role & Responsibilities
- Define and execute the people data and analytics strategy for North Asia and Southeast Asia & Australasia (SEAA) to inform HR priorities and business decisions.
- Design, build and maintain regional HR dashboards, KPIs and reports that surface talent, performance, mobility and retention insights for senior HR and business stakeholders.
- Lead workforce planning, scenario modelling and predictive analytics to forecast headcount, attrition and talent needs across markets.
- Operate as the primary analytics partner to HRBP, Talent Acquisition, Rewards and L&D teams, translating business questions into measurable analytics deliverables.
- Establish and enforce data governance, quality controls and secure handling of sensitive employee data across multiple HRIS platforms and local jurisdictions.
- Manage and mentor a small analytics team and collaborate with central/global people analytics and IT teams to deploy scalable solutions.
- Drive adoption of insights through stakeholder engagement, training and change-management to ensure analytics inform decision-making.
Qualifications
- Bachelor’s degree in statistics, data science, economics, human resources or a related quantitative discipline; advanced degree preferred.
- Deep knowledge of people analytics methodologies, workforce planning and HR metrics.
- Proven ability to translate complex data into clear business recommendations for senior leaders.
- Strong understanding of data privacy and governance as applied to employee information across multiple jurisdictions.
Skills
Experience
Minimum 5 years of progressive experience in people/HR analytics or workforce planning, including 2+ years leading analytics projects or a small team. Prior exposure to multi-country operations in Asia-Pacific or regional responsibilities is strongly preferred.
Education
Bachelor’s degree in a quantitative discipline, human resources or related field; master’s degree or equivalent is preferred.
Workplace
The successful candidate will be located in Hong Kong, Hong Kong, China.
Culture
Chanel blends artisanal tradition with modern organisational rigour; teams operate in a high-expectation, collaborative environment that values discretion, refinement and innovative thinking. The workplace culture rewards precision, creative problem-solving and a strong sense of brand stewardship.
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 «People Analytics Manager», «HR Data & Insights Manager», «Workforce Analytics Manager», «Manager, People Insights & Workforce Planning», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.