Data Scientist (Analytics)

Data Scientist (Analytics) - Country & Marketing Analytics

• Full-time

Life at Grab


At Grab, every Grabber is 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. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia


Get to know our Team

Grab - the leading super app in Southeast Asia - combines transport, food delivery, logistics, payments, and much more in a single platform. The Country & Marketing Analytics team helps the organization by analyzing in each of our countries our past operations and marketing initiatives, deciphering the impact on our business, our brand and our users, to augment the outcome of future initiatives.


Get to know the Role
The team works closely with various teams in Grab - Business, Operations, Marketing but also Engineering, Product and other Data teams, to understand data requirements, identify and track key metrics, and provide data-driven solutions that are tailored and relevant to always-evolving innovation in our markets. The Day-to-Day Activities

Be involved into the business to understand all aspects of our marketplace and marketing in countries.

Conduct in-depth analysis and provide insights based on business needs.

Develop data-driven solutions such as reports, toolkits, dashboards, models and analytical frameworks to help further stakeholders decisions.

Support a broad range of projects related to automation, scalable measurement and Analytics efficiency.

Shape the development of our data infrastructure including data warehousing, optimization and maintenance of our analytics platforms.

Provide support and training to stakeholder teams on analytical insights, tools and methodologies.


The Must-Haves

Some Analytics experience and a strong business acumen, preferably in the e-commerce or internet industry.

Bachelor’s degree in Statistics, Analytics, Mathematics, Engineering or other quantitative subjects.

Advanced knowledge of analytical tools such as database querying (SQL, Presto, Hive), visualization and reporting tools (Tableau, PowerBI, Holistics) and programming languages (Python, R).

Strong ability to work with large and complex data sets.

Fast-learner, versatile, self-driven, detail-oriented and collaborative.

Excellent communication skills to translate analytics specificities for all audiences.

Full professional working proficiency in English is required.

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, gender identity or sexual orientation and other attributes that make each Grabber unique.