Hermès Data Analyst — Gemstones (Jewelry)
About Hermès
Hermès Sellier (Hermès) is a renowned French luxury maison celebrated for its artisanal leather goods, silk, and high jewellery. The brand is known for meticulous craftsmanship, long-term thinking and a strong commitment to quality, sustainability and ethical sourcing; it fosters a workplace that values skill development, cross-functional collaboration and preservation of artisanal know-how.
Hermès — Data Analyst (Gemstones) in Pantin: contract role to manage stone master data, reporting and analytics for Jewellery Purchasing.
Role & Responsibilities
- Design and maintain master data for gemstones: create coding schemes, compile and analyse gemmological characteristics (cut, colour, clarity, yield, rejection rates) and ensure integration across systems.
- Ensure integrity, conformity and availability of stone technical and pricing data across ERP, PLM and purchasing tools; define and apply data-quality standards, nomenclatures and supplier reference lists.
- Establish and monitor data-quality KPIs and sustain a governance framework for gemstone master data.
- Act as operational liaison between the Purchasing (Stones) team and IT/Data/DSI projects: translate business needs into functional requirements and support implementation.
- Develop and automate reporting, improve traceability of flows and contribute to predictive tools for demand, pricing and supply tensions.
- Participate in scoping, modelling and configuration workshops; test new functionalities and validate data coherence.
- Drive change management within purchasing teams to secure adoption of data solutions and processes.
- Deliver analysis and ad hoc simulations to support supplier negotiations, supply-chain arbitrage, and standardisation decisions; define strategic KPIs for stone purchasing.
Qualifications
- Higher technical education (engineering school, business school with data/project specialisation, or equivalent university degree).
- Minimum of 3 years' experience in data management, data projects or related roles (2–5 years typical).
- Proven expertise in data governance, master-data structuring and data modelling.
- Strong capacity to translate functional and organisational needs into technical requirements.
- Excellent stakeholder management and change-management skills; ability to work transversally with buyers, IT, product data and suppliers.
Skills
Experience
Minimum 3 years in data management or data project roles, preferably with exposure to purchasing/procurement, PLM/ERP environments or the luxury/retail sector.
Education
Higher technical education (engineering or business school with data/project specialisation) or equivalent university degree.
Workplace
The role is situated in Pantin, Île-de-France, France — conveniently close to Paris.
Culture
Hermès cultivates an artisanal, quality-driven culture where craftsmanship and attention to detail are paramount. The organisation emphasises cross-disciplinary collaboration, ethical sourcing and long-term development of people and processes.
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 Hermès, 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 «Gemstone Data Analyst», «Data Governance Analyst — Jewelry», «Purchasing Data Analyst — Gemstones», «Product Data Analyst — Jewelry», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.