Data Scientist (Analytics), VietnamVietnam
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 the 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 organisation by analysing 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, optimisation and maintenance of our analytics platforms
Provide support and training to stakeholder teams on analytical insights, tools and methodologies
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), visualisation 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 [and in Local Language] is required
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.
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Grab is an equal opportunity employer. We owe our success to the talents of our globally-diverse team and the varying perspectives they add to our thriving community.
Grab does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Grab employees or other parts of the business. Grab will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.