Richemont Senior Analyst, Workforce Management

Richemont is a Switzerland-based luxury goods group comprising prestigious maisons in jewellery, watches and specialist luxury accessories. The group combines artisanal heritage with international retail and digital operations and seeks professionals who can balance respect for craftsmanship with data-driven commercial decision-making.

1. Develop and maintain short‑ and long‑term workforce forecasts and staffing models across retail, e‑commerce and service channels.
2. Design efficient weekly and daily schedules to meet demand while optimising labour cost and service KPIs.
3. Create scenario models to quantify headcount, hours and cost implications of business initiatives or seasonal fluctuations.
4. Produce regular dashboards and reports for senior stakeholders, translating data into actionable recommendations.
5. Partner with HR, store operations, merchandising and finance to align workforce plans with commercial and budgetary objectives.
6. Manage and enhance workforce management systems and data pipelines to ensure accuracy of time‑and‑attendance, forecasts and labour metrics.
7. Monitor and report on key performance indicators (service levels, productivity, shrinkage, overtime) and drive continuous improvement initiatives.

1. Bachelor’s degree in Business, Economics, Statistics, Industrial Engineering, Mathematics or related field; master’s preferred.
2. Proven ability to produce forecasts, staffing models and schedule optimisations for multi‑channel retail operations.
3. Strong analytical rigor with demonstrated competence in data cleansing, modelling and scenario analysis.
4. Excellent stakeholder management and communication skills, with experience presenting to senior leadership.
5. Familiarity with workforce management systems and time‑and‑attendance processes in a retail context.

1. Microsoft Excel (advanced modelling)
2. SQL
3. Tableau
4. Power BI
5. Python
6. R
7. Workday
8. UKG (Kronos)
9. Forecasting
10. Capacity planning
11. Scenario modelling
12. Data visualization

Approximately 4–7 years of progressive workforce management, demand planning, retail operations analytics or related experience, ideally with at least some exposure to luxury or premium retail and omni‑channel environments.

Bachelor’s degree in Business, Economics, Statistics, Industrial Engineering, Mathematics or a related discipline; master’s degree or advanced quantitative certification preferred.

Richemont’s workplace balances a reverence for traditional craftsmanship with a forward‑looking commercial and digital mindset. The environment values collaboration across global teams, high standards of client service, and data‑driven decision making to support maisons committed to long‑term brand equity and innovation.