Hermès Data Analyst — Gemstones (Jewelry)

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.

1. 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.
2. 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.
3. Establish and monitor data-quality KPIs and sustain a governance framework for gemstone master data.
4. Act as operational liaison between the Purchasing (Stones) team and IT/Data/DSI projects: translate business needs into functional requirements and support implementation.
5. Develop and automate reporting, improve traceability of flows and contribute to predictive tools for demand, pricing and supply tensions.
6. Participate in scoping, modelling and configuration workshops; test new functionalities and validate data coherence.
7. Drive change management within purchasing teams to secure adoption of data solutions and processes.
8. Deliver analysis and ad hoc simulations to support supplier negotiations, supply-chain arbitrage, and standardisation decisions; define strategic KPIs for stone purchasing.

1. Higher technical education (engineering school, business school with data/project specialisation, or equivalent university degree).
2. Minimum of 3 years' experience in data management, data projects or related roles (2–5 years typical).
3. Proven expertise in data governance, master-data structuring and data modelling.
4. Strong capacity to translate functional and organisational needs into technical requirements.
5. Excellent stakeholder management and change-management skills; ability to work transversally with buyers, IT, product data and suppliers.

1. Excel (advanced; VBA, Macros)
2. Power BI
3. ERP
4. PLM
5. Data governance
6. Data modelling
7. Data analysis
8. Reporting automation
9. Change management
10. Functional requirements specification

Minimum 3 years in data management or data project roles, preferably with exposure to purchasing/procurement, PLM/ERP environments or the luxury/retail sector.

Higher technical education (engineering or business school with data/project specialisation) or equivalent university degree.

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.