Revenue Analyst

**Who are we?**

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.

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.

**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
- Challenge the status quo with new ideas to achieve business objectives
- Learn steeply, and hopefully not only at the beginning
**Who are we looking for?**
- You are innately curious, highly analytical and enjoy distilling complex business questions into technical requirements and find answers in the data
- You have at least 1-3 years of 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 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 exists for the millions of fashion consumers in Asia seeking a shopping experience focused on their unique styles, trends and fit. As Asia’s leading online fashion destination, ZALORA was founded in 2012 and has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong and Taiwan. ZALORA’s localised sites offer an extensive collection of top international and local brands as well as our own in-house labels across apparel, shoes and accessories for men and women. ZALORA is part of Global Fashion Group, the world's leader in online fashion for emerging markets.7oAQnnZfnP