The Revenue Office is a new function in Zalora, tasked to optimise anything that affects the revenue/conversion funnel. We consider product, customer and tech platforms as constraints, and use all the levers at our disposal (price, campaign, search, sorting, and processes around them) to get the best possible outcome (read Sales and Profit). It is a standalone department from commercial and marketing.
Revenue Analytics is one of the building blocks of the Revenue Office, together with Merchandising, Pricing, CRM and loyalty. As the data analytics brain, the team is responsible for establishing the analytical structure within the function and ensuring that every team's work is fully consistent with the overall growth objectives of the company. This includes tools and process creation around how data will be used in the team, as well as application of advanced analytics and data science in business scenarios, to unlock new opportunities and take the current state to the next level.
At Zalora, we operate in a fast-paced environment, so it won't be a stroll in the park and there will be plenty of challenging work in parallel. You can expect to be stretched to deliver quality work with relatively short turnaround time, take ownership of your deliverable, and also an abundance of learning. You will start right away from the topics that drive our strategy and impact our performance directly, working together with many different teams and be exposed to amazing people.
What will you do?We are a highly ambitious team, so we have already numerous projects and initiatives planned, from search algorithm improvements to catalogue sorting experiments, from pricing elasticity modelling to campaign strategy optimisation. We also drive strategic discussions by aligning performance measurements, setting actionable targets for operational teams and ensuring accuracy of forecast models.
As part of the team, your primary focus will extend beyond pulling the data and crunching the numbers. You will:
Tackle complex business problems by converting raw data into actionable insights
Identify KPIs and develop dashboards to monitor them
Conduct descriptive analysis to validate hypothesis and support decision making
Build predictive models and tools for revenue optimisation or process automation
Design experimentation methodology, and evaluate A/B test results
Contribute to project initiations by flagging potential issues or enhancement opportunities
Set monthly customer and sales targets based on current trends
Challenge the status quo with new ideas to achieve business objectives
Learn steeply, and hopefully not only at the beginning
RequirementsExceptional analytical skills
Love working with numbers
1-3 years of experience
Bachelors/Masters degree from a top university
Degree in Engineering, Computer Science, Finance or related quant fields preferred.
Excellent data storytelling skills using visualisation tools like Tableau, Looker or Power BI
Preferably have some experience with SQL programming language
Effective project and time management skills
Excellent communication and interpersonal skills
Capable of handling multiple tasks (but try not to multitask), working under pressure and meeting short deadlines
Wonder how it's like to build your career with ZALORA? Inspired by employees, we believe you'll be in for:
An exciting platform to make your success story
Have the utmost care for your mental and physical wellbeing
Flexibility weaved into your lifestyle
A seamless work environment with a friendly & team-fueled culture
Career growth aligned to your professional and personal needs and goals#J-18808-Ljbffr