Junior Revenue Analytics
ZALORA SEA
SG
3d ago

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 4 building blocks of the Revenue Office, together with Merchandising, Pricing and PMO. 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.

Reporting to the Revenue Analytics manager, 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.

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.

Responsibilities :

  • 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
  • Challenge the status quo with new ideas to achieve business objectives
  • Learn steeply, and hopefully not only at the beginning
  • Requirements :

  • You are innately curious, highly analytical and enjoy distilling complex business questions into technical requirements and find answers in the data
  • You have less than 2 years of working experience in one or multiple of the following areas : business analytics, statistical modelling, data visualisation, quantitative analysis, predictive modelling, business intelligence
  • You possess a degree from top university in a relevant quantitative discipline, such as statistics, computer science, mathematics, data science or analytics
  • You are comfortable using SQL / BigQuery / Presto for data munging, exploration, and analysis
  • You have excellent communication and data storytelling skills to effectively present findings with data visualisation tools like Tableau or Power BI
  • You have a deep understanding of statistical methods and how to apply them
  • You thrive in a collaborative and dynamic environment
  • You are a self-starter with a track record of initiating projects and driving them to completion
  • Nice to Have

  • Experience in the fashion or e-commerce industry
  • Experience working at a startup or fast-growing organisation
  • Experience using R or Python for data analysis and modelling
  • Familiarity with principles of business intelligence and data infrastructure
  • The ZALORA Story

    ZALORA Group is Asia Pacific’s leading group of online fashion destinations. Founded in 2012, the company has a presence in Singapore, Indonesia, Malaysia and Brunei, the Philippines, Hong Kong and Taiwan.

    ZALORA is part of Global Fashion Group, the world's leader in online fashion for emerging markets. ZALORA Group’s localised sites offer an extensive collection of top international and local brands and products across apparel, shoes, accessories, and beauty categories for men and women.

    Offering up to 30-day free returns, speedy deliveries as fast as 3 hours in some markets, free delivery over a certain spend, and multiple payment methods including cash-on-delivery, ZALORA Group is the online shopping destination with endless fashion possibilities.

    ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals.

    Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by Zalora or Global Fashion Group.

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