Product Analyst

Get to know our Team:
- Product Analytics cares about deeply understanding how users experience the Product

- We enable Product Management & Design to focus on the right outcomes and feature set

- We remain integral to the product process from hypothesis development, right through to post rollout optimisation

Get to know the Role:
- Collaborate with Product and Technology to design and deliver analytical projects that support the Product roadmap

- Provide thought leadership and generate data driven hypotheses to solve key Product/Business problems

- Develop standardized reporting and analysis to understand and monitor user interactions and experience on the Grab platform

The day-to-day activities:
- 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.,

- Mine large amounts of clickstream and transactional data to develop a deep understanding of Grab users, both passengers and driver partners

- Own and manage all instrumentation for clickstream events on the Product, across all Grab platforms

- 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

- Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment

The must haves:
- 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
- Advanced SQL writing skills and experience in querying large relational databases

- Hands on experience with data analysis / scripting / programming tools like R or Python and Data Visualization platforms like Tableau / Qlikview / D3.js, etc.,

- Experience with designing, running and analyzing A/B tests and product experiments. Should also have an understanding of hypothesis testing and the basic principles of DoE

- Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.

- Ability to handle multiple priorities and solve ambiguous problems in a fast paced environment