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:
Build, grow and lead a team of analysts to embed a data-driven culture within the company
Collaborate with Product and Technology to design and manage analytical projects that support the Product roadmap
Define and develop a framework for experimentation and provide direction related to the design & measurement of A|B tests on the platform
Own the prerogative for insight generation and support rapid prototyping within the Product function.
Provide thought leadership and generate data driven hypotheses to solve key Product/Business problems
Develop and manage information systems that allow for standardized reporting and analysis to understand and monitor user interactions and experience on the Grab platform
Initiate and maintain strong relationships with relevant industry partners, suppliers and contractors.
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:
6+ 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
At least 3 or more years of experience leading and developing high performing teams.
Deep understanding of a winning team’s DNA and a track-record of building well-rounded teams
Experience with data analysis / scripting / programming tools like SQL, R or Python and Data Visualization platforms like Tableau / Qlikview / D3.js, etc.,
Prior experience with designing, running and analyzing A/B tests and product experiments
Experience solving prediction, classification and optimization problems using applied statistics and machine learning will be a plus
Ability to handle multiple priorities and solve ambiguous problems in a fast paced environment
Proven ability to translate analyses into actionable insights and recommendations
Excellent problem-solving, interpersonal and communication skills
