Job Description

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 GEM 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:

• Actively engage with the business to gain a holistic understanding of the marketplace and marketing dynamics in the local country.
• Collaborate with cross-functional teams to align analytics efforts with business goals.
• Conduct in-depth analyses to provide valuable insights based on business needs.
• Develop data-driven solutions such as reports, toolkits, dashboards, models, and analytical frameworks to support decision-making.
• Shape the development of our data infrastructure, including data warehousing, optimization, and maintenance of our analytics platforms.
• Support a broad range of projects related to automation, scalable measurement, and analytics efficiency.
• Provide support and training to stakeholder teams on analytical insights, tools, and methodologies.

Qualifications

The Must-Haves:

• Some experience in analytics, 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.
• Familiarity with advanced analytics techniques, including but not limited to predictive modeling, machine learning, and statistical analysis.
• Experience in implementing and optimizing machine learning models for real-world applications.
• Fast-learner, versatile, self-driven, detail-oriented, and collaborative.
• Excellent communication skills to translate analytics specificities for all audiences.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.