Rolex Master Data Business Analyst
Rolex in Geneva seeks a Master Data Business Analyst to lead SAP MDG governance, data migration and master data quality.
Overview
Rolex is a preeminent Swiss watchmaker renowned for technical excellence, precision and artisanal craftsmanship. Headquartered in Geneva, the maison maintains a global footprint and a reputation for rigorous quality standards; as an employer it offers structured, high-performance IT and operational environments that support its horological activities.
Role & Responsibilities
- Gather, analyse and challenge business requirements for master data across end-to-end processes (articles/products & prices, business partners, production data).
- Design and model governance processes in SAP MDG: workflows, business rules, roles and responsibilities for creation, modification and validation of master records.
- Author clear functional specifications and ensure technical developments (SAP and non‑SAP) fulfil business needs.
- Ensure master data quality through definition and monitoring of KPIs (completeness, uniqueness, freshness) and drive continuous improvement.
- Plan, execute and document functional testing and user acceptance; lead data migration activities including mapping rule definition, cutover coordination and hypercare support.
- Train and support end users; produce user guides and provide functional support to secure adoption.
- Maintain technological and methodological watch on Master Data Management best practices and SAP evolutions.
Qualifications
- Engineering degree or Master’s in computer science, data or equivalent technical discipline.
- Minimum 3–5 years' experience on SAP projects with demonstrable expertise in master data governance and data quality.
- Strong knowledge of Article/Product master, Business Partner (Customer/Supplier) master data; ideally familiar with production (PP) master data.
- Experience contributing to data migration projects and defining mapping/reconciliation rules.
- Fluent French and professional working knowledge of English.
Skills
Experience
3–5 years working on SAP programmes, with significant hands‑on responsibility for master data governance, data quality initiatives and participation in data migration/mapping activities.
Education
Engineering degree or Master’s (computer science, data or equivalent).
Workplace
This position is based in Geneva, Geneva, Switzerland. The broader Geneva area accounts for 439 active listings on Cerulean, 8 of which are new. In Switzerland as a whole, Cerulean currently features 712 open positions, with 15 posted this week.
Benefits
Stimulating work environment; excellent working conditions; flexible working time arrangements; top‑tier social benefits.
Culture
Rolex combines Swiss watchmaking tradition with exacting operational standards, fostering a culture of precision, discretion and long‑term stewardship. Cross‑functional collaboration and high expectations for quality characterise the workplace, alongside opportunities to work on large‑scale SAP and data governance initiatives.
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 Rolex, 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 «Master Data Analyst», «Data Governance Analyst», «SAP MDG Business Analyst», «Product Master Data Analyst», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.