Job Profile
Zalora is Asia's leading online fashion destination, operating across Singapore, Indonesia, Malaysia, the Philippines, and Hong Kong as part of Global Fashion Group. We give customers access to thousands of local and international brands across apparel, footwear, accessories, and beauty, backed by fast delivery, easy returns, and a seamless digital shopping experience.
The Revenue Office is Zalora's dedicated function for optimising everything that drives the revenue and conversion funnel. We treat product, customer experience, and the tech platform as fixed constraints, and pull every commercial lever available to us — pricing, campaigns, search and discovery, sorting, and the processes around them — to deliver the best possible sales and profit outcome. The Revenue Office operates independently from Commercial and Marketing, giving it a cross-functional, company-wide view of performance.
Revenue Analytics is the analytical backbone of the Revenue Office, working alongside Merchandising, Pricing, and PMO. The team builds the data infrastructure, standards, and analytical rigor that every other team in the function relies on, and applies advanced analytics and data science to uncover new growth opportunities. If the Revenue Office is the engine driving Zalora's growth, Revenue Analytics is what tells it exactly where to steer.
Key Responsibilities
As Associate Manager, you will go beyond pulling data and building reports. You will own the analytical framework that the entire Revenue Office runs on — setting the standards, models, and dashboards that turn raw data into decisions. Your day-to-day will span:
KPI Standardisation — Standardise and govern KPI definitions across the Revenue Office, partnering with Data Warehousing and Tech to guarantee tracking accuracy and a single source of truth.
Target Setting & Dashboards — Set sales and profitability targets for individual Revenue teams and build the dashboards they need to monitor performance in real time.
Customer & Behavioural Analytics — Analyse complex datasets to understand customer behaviour and shopping patterns — what drives purchase, what motivates repeat visits, and how different customer segments respond to offers — and translate those insights into concrete actions such as voucher strategy and segmentation design.
Revenue–Profit Trade-off Management — Evaluate and manage the trade-off between revenue growth and profitability across promotions, vouchers, and CRM segmentation, ensuring commercial activity delivers sustainable margins rather than growth at any cost.
Commercial–Campaign Alignment — Serve as the key connector between the Commercial team and the Campaign team, aligning merchandising strategy with campaign execution so that the right offer reaches the right customer at the right moment — ultimately converting intent into purchase.
Forecasting & P&L Management — Forecast and manage the commercial team's P&L performance, owning the predictive model that factors in seasonality and the expected impact of levers the Revenue team controls — campaigns, pricing, CRM lifecycle, and onsite discovery.
Performance Review & Diagnostics — Lead the weekly Revenue performance review, diagnosing the root causes behind strong or weak performance and steering trading decisions in light of external factors from Commercial (buying/planning) and Marketing (traffic/campaigns).
Cross-Functional Projects — Initiate and lead cross-functional projects that optimise the profit funnel and customer experience — including machine learning applications such as pricing elasticity, customer segmentation, and propensity modelling.
Tools & Technology You’ll Work With
Zalora's Revenue Analytics team works with a modern, AI-forward stack — you won't need deep coding to be effective here:
Looker — Google's dashboarding platform, used across the Revenue Office to monitor sales, profitability, and funnel performance.
AI Tools (Claude, Gemini, and similar) — used daily to accelerate…