The day-to-day activities:
1. Design, measure and recommend A/B tests and multivariate experiments on the platform, including, but not limited to layout optimization, page level testing, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc.,
2.  Mine large amounts of clickstream and transactional data to develop a deep understanding of Grab users, both passengers and driver partners
4.  Own the prerogative for insight generation and support rapid prototyping within the Product function. This includes working closely with Product Managers to see through analytics projects /product interventions from start to finish
5. Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment

The must haves:
1.  4+ years of experience in Analytics, Business Intelligence or a Data Science role, preferably in an Internet or 'Direct to Consumer' company with large, complex, high velocity data. Prior experience with Product management will be a definite plus
2.  Advanced SQL writing skills and experience in querying large relational databases
3.  Hands on experience with data analysis / scripting / programming tools like R or Python and Data Visualization platforms like Tableau / QlikView / D3.js, etc.,
4.  Experience with designing, running and analyzing A/B tests and product experiments. Should also understand hypothesis testing and the basic principles of DoE
5. Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.
6. Ability to handle multiple priorities and solve ambiguous problems in a fast-paced environment