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