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 merchandisingrelated 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 overperforming 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 postpromotion 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.

CrossFunctional Collaboration

Collaborate closely with category management, planning, supply chain, store operations and finance teams to deliver datadriven insights.
Act as a commercial analytics partner, helping stakeholders optimize product mix, space allocation, pricing, and inventory decisions.
Support adhoc 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

Data Analyst – Performance Analytics & Pricing