Performance Marketing Analyst

at  ZALORA SOUTH EAST ASIA PTE LTD

We are looking for a passionate and talented individual to join our Marketing team. Reporting to the Head – Growth & Martech, this regional role places you right at the beating heart of the Marketing function.
The analytics aspect of the role leverages a deep understanding of our customers through exploration and analysis of our valuable data asset, market research, market intelligence and competitor research. The analytics function unifies and rallies the various teams through insights-driven recommendations in order to do what is best for our stakeholders – Paid channels. Our recommendations are not limited to the realms of what the Marketing team can influence, but it can also span into other areas of the business such as product assortment, user experience on our platforms (web and mobile), etc.
This role will provide critical insights for strategy building and budget planning, that will allow the various marketing team members to scale at efficiency, improve productivity and manage big strategic projects and transformations. We ensure cross functional alignment of goals and execution in day-to-day operations, and help build a foundation for excellence by reinforcing marketing strategy using key performance metrics, developing scalable infrastructure and optimizing business processes.

REQUIREMENTS:

• Minimum 4 years working experience in a related field or management consulting
• Has a strong technical background. Proficiency in Tableau and any of these programming languages SQL / SAS/ R / Python is preferred
• Previous marketing analytics experience is preferred
• Great project and stakeholder management skills, as well as strong communications skills
• High level of initiative with a good ability to perform under time pressure or tight deadlines
• Minimally a Bachelor Degree, preferably in Engineering, Business Admin, Marketing or related fields

This role will be focused on strategic, long-term and impactful analysis that will aid the team in making intelligent decisions that are data driven, as well as supporting a portion of the Project Management initiatives