Description
Grab is Southeast Asia's leading superapp, providing various services such as food delivery, financial management, and transportation.
The Country & Marketing Analytics team drives organisational success by analysing regional operations and marketing programs across all markets.
As a Senior Data Scientist (Analytics) - Country & Marketing Analytics, you will partner with Regional Marketing and Growth teams to develop regional strategies that expand our user base and deepen user engagement.
Key Responsibilities:
- Innovate: Uncover compelling business opportunities through rigorous data analysis, identifying and addressing critical customer pain points with novel solutions that grow beyond industry standards.
- Illuminate: Translate complex data into clear, data-driven recommendations that empower strategic decision-making across leadership and teams.
- Influence: Partner with teams to establish meaningful metrics, design rigorous experiments, and shape the strategic direction of marketing and growth programs.
- Drive Impact: Deliver measurable improvements across platforms that enhance user experience and promote success.
Qualifications:
- At least 4 years of analytical experience and an understanding of business
- Ability to help narrow down multiple options into the best approach, and take ownership of open-ended ambiguous business problems
- Expertise in data storytelling, and ability to create intuitive and impactful dashboards
- Fluency in SQL, Python, or other scripting/programming languages, and comfort with large datasets and ETL processes
- AI-first mindset: curiosity and willingness to experiment with new tools, automation, and AI-powered workflows to enhance analytics and decision-making
Life at Grab:
- Term Life Insurance and comprehensive Medical Insurance
- GrabFlex: create a benefits package that suits your needs and aspirations
- Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave
- Confidential Grabber Assistance Programme
- FlexWork arrangements such as differentiated hours