Richemont Senior Data & Automation Analyst — Finance

Richemont is a leading Swiss luxury goods holding company comprising a portfolio of maisons across jewellery, watches, leather goods and lifestyle categories. As a global luxury group with internationally recognised maisons, Richemont offers a matrix of creative heritage, craftsmanship and commercial scale across multiple high-end brands.

1. Design, build and maintain reliable financial data pipelines and ETL/ELT processes to consolidate transactional and reporting data for group finance and controlling.
2. Identify, scope and deliver automation initiatives across financial close, reconciliations, reporting and operational processes to increase efficiency and reduce manual interventions.
3. Develop and deploy interactive dashboards and management reports for finance stakeholders, ensuring proper data models and semantic layers for self-service analytics.
4. Ensure data quality, lineage and governance by implementing controls, validation rules and reconciliation procedures across source systems and analytical models.
5. Collaborate with Finance, IT, business process owners and external vendors to deliver integrations (ERP, APIs) and production deployments following change-control practices.
6. Lead testing, UAT and documentation for data and automation solutions; establish runbooks and operational support procedures.
7. Coach and mentor junior analysts; promote best practices in analytics, automation and data stewardship within the finance organisation.

1. Bachelor's degree in Finance, Accounting, Data Science, Computer Science or a related discipline; master’s degree preferred.
2. Proven experience delivering end-to-end data and automation projects within a finance function or financial services environment.
3. Strong understanding of financial processes (close, consolidation, FP&A, reconciliations) and related control requirements.
4. Demonstrated ability to liaise with technical teams (IT/ERP) and business stakeholders to translate requirements into scalable solutions.
5. Excellent communication skills with the capacity to present complex analytics to senior finance leaders.

1. SQL
2. Python
3. Power BI
4. Advanced Excel (pivot tables, Power Query)
5. ETL/ELT design and data modelling
6. ERP integration experience (e.g., SAP FI/CO) and API-based data integrations
7. Robotic Process Automation (RPA) concepts and orchestration
8. Data governance, reconciliation and control frameworks
9. Agile delivery and stakeholder management

Senior-level experience (typically 5+ years) in finance analytics, data engineering or automation, with a track record of implementing finance-focused data solutions and process automations in multi-system environments.

Bachelor's degree in Finance, Accounting, Data Science, Computer Science, Engineering or a closely related field; a master's degree or professional certification in finance/analytics is advantageous.

Richemont fosters a culture anchored in craftsmanship, creativity and long-term brand stewardship. The organisation values cross-disciplinary collaboration between commercial, creative and technical teams and encourages a purpose-driven approach to luxury retail and manufacturing.