Data Analytics

Company Description

About Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

With a vision to become the best mobile financial services platform for SEA people: to live, earn, and play - Grab Financial Group is one of the largest and fastest-growing fintech players in the region. Enabled with a relentless pursuit for excellence, we aim to deliver the smoothest and most relevant financial services across payments, lending, insurance, and investments in the region. 

Get to know our Team:

• GFG Analytics team supports the GFG product and business org. Data Scientists (Analytics) are part of one or more tech families - Fin Core, Fin Experience, Fin Identity, Payments, Financial Services (Invest, Insure & Lending).
• We care about deeply understanding how users experience the Product and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set
• We remain integral to the product development process from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization

Job Description

Get to know the Role:

• Use data to understand user needs - be the de-facto Voice of the Customer (users, driver-partners, merchants, agents, etc) for all GFG teams.
• Leverage data for further insights to launch and improve goods and services on GrabPay wallet and scale it to multiple financial services.
• Champion data-driven decision-making and culture in Grab Financial Group   
• Partner with Product Managers, Business Owners, UX Designers, and Engineering to design and deliver analytical projects that help support the GFG Product roadmap
• Provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems

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, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc.,
• Mine clickstream and transactional data to drive GFG product metrics through a deep understanding of user behavior i.e. consumers, driver-partners, merchants, etc.
• Implement, own and manage all instrumentation for all feature releases within the assigned tech families within GFG
• Produce segmented views of our customers, merchants for our business, and product stakeholders to drive product iterations and improvements
• Successfully provide reliable and on-time deliverables to meet individual stakeholder needs
• Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment

Qualifications

• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, or other quantitative subjects
• 3+ years experience in Analytics, Business Intelligence or Data Science role, preferably in an Internet or E-Commerce company with large, complex, high-velocity data 
• Advanced SQL writing skills and experience in querying large relational databases
• 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
• Hands-on experience with data analysis/programming tools like R or Python and Data Visualization platforms like Tableau / PowerBI / 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

Additional Information

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age and other attributes that make each Grabber unique.

We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.