The Economics team takes on some of the most challenging and fascinating problems at Grab, in Payments, Advertising, Transport, Deliveries and the space around. We apply both qualitative and quantitative techniques to turn data into actions that have a positive impact on our customers, drivers and merchants. We promote a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.
Get to know the Role:
This role focuses on Grab Financial Group (GFG) and Grab Ads, but offers opportunities for exposure to a wide range of Grab verticals. As Grab’s payments and ads ecosystems become more prevalent and our suite of financial products grows, we are looking to deepen our understanding of our consumers and merchants to drive business growth and profitability.
Collaborative projects across teams are common, with opportunities to work across business verticals and with different regional and country teams. These projects often require a combination of data analysis, strategic thinking and idea generation.
The day-to-day activities:
Develop modeling and analysis for strategic planning and performance tracking
Develop a deep, data-driven understanding of our passengers, drivers, and merchants based on econometric analysis, geo-spatial visualizations, user interviews, and cultural understanding of our markets
Translate this understanding into actionable, creative insights that improve the user experience, strengthen the value proposition and drive profitable growth
Test and validate insights via rapid experimentation and deployment, working effectively with tech and product teams to scale-up and deploy products/product features based on the validated insights
At least 2-3 years of work experience in Finance, Economics, Psychology, Anthropology, Sociology, Computer Science, or related fields
Strong foundation in data query/manipulation using SQL
Strong foundation in data analysis using R or Python
Effective communication and collaboration skills and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialists
Ability to quickly grasp the fundamentals of a variety of businesses through a strong understanding of economic principles
Self-motivation and an ability to learn independently
Previous experience in experiment design and causal inference
Previous experience managing a diverse group of stakeholders
A balance of right-brain and left-brain competencies, spanning a keen appreciation of human behaviour (e.g. deep interests in economics, sociology, anthropology and/or psychology), to data-driven analysis (e.g. randomised control trials, econometric tools)
An eye for both detail and the bigger picture, including the awareness to know which to focus on at any given time given project requirements