Responsibilities
Commercial Performance & Analytics
- Track and analyze overall commercial performance, including sales target achievement, revenue growth, margin performance, and category mix.
- Develop dashboards and analytics to visualize commercial performance trends for merchandising, and senior management.
- Monitor and report on key commercial and merchandising KPIs, ensuring accuracy, consistency, and timely delivery.
Merchandising & Category Analytics
- Analyze merchandising‑related data (sales, margins, inventory, assortment) to uncover insights that improve category performance.
- Support category managers with insights on product mix optimization, assortment effectiveness, and lifecycle performance.
- Identify under‑ and over‑performing SKUs, brands, and categories to support commercial action planning.
Pricing & Promotion Analytics
- Perform pricing and promotion analyses to evaluate effectiveness and identify optimization opportunities.
- Support the definition of pricing and promotional strategies that maximize profit, increase sales, and enhance customer satisfaction.
- Analyze promotion uplift, cannibalization, and post‑promotion performance to inform future promotional planning.
Forecasting & Planning Support
- Support planning cycles by producing forecast accuracy reports and performance evaluations.
- Analyze variances between forecasted and actual performance, identifying root causes and improvement actions.
- Provide analytical support during budgeting, forecasting, and reforecasting cycles in collaboration with planning and finance teams.
Cross‑Functional Collaboration
- Collaborate closely with category management, planning, supply chain, store operations and finance teams to deliver data‑driven insights.
- Act as a commercial analytics partner, helping stakeholders optimize product mix, space allocation, pricing, and inventory decisions.
- Support ad‑hoc analyses and strategic initiatives related to commercial and merchandising performance.
Qualifications
- Bachelor's degree in Business Analytics, Statistics, Economics, Finance, Engineering, or related field
- 3–5 years of experience in data analysis, commercial analytics, or business intelligence
- Experience in travel retail, retail merchandising, FMCG, or luxury retail is strongly preferred
- Advanced Excel skills (complex formulas, PivotTables, Power Query)
- Experience with BI and visualization tools (Power BI, Tableau, or similar)
- Strong understanding of sales, margin, pricing, promotion, and inventory analytics
- Ability to work with large datasets from POS, ERP, and planning systems
- SQL or data modeling experience is a plus
