Job Description

Company DescriptionAbout Grab and Our WorkplaceGrab is Southeast Asia\'s leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we\'ve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.About the TeamThe GrabFin Analytics team empowers data-driven decision-making across our product and teams within the GrabFin ecosystem. As part of the Payments Tech Family, we help drive cashless payments across all Grab products, focusing on both enhancing the payment experience and strengthening core payment capabilities. If you excel at intellectually stimulating challenges and have a passion for data, you\'ll find a great fit with us. Beyond technical expertise, we are looking for individuals who embody our core values-the 4Hs: heart, hunger, honour, and humility.Get to Know the RoleYou will lead GrabFin payments analytics teams and report into the Senior Analytics Manager. You will be based onsite in Singapore and work with different teams within a business line (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify key metrics, and provide data-driven insights. You will also evaluate the feasibility of new business/product ideas and provide appropriate recommendations.QualificationsThe Critical Tasks You Will Perform

• You will uphold rigorous standards in measurement, experimentation and recommendations to ensure data integrity and objective decision-making.
• You will lead the exploration of business/product opportunities, uncover insights, and identify areas for growth.
• You will collaborate with the product and engineering teams to design experiments that influence product decisions.
• You will adapt in-production models to new markets to enhance product velocity.
• You will direct expert teams to launch products/services and broaden Grab\'s data universe for deeper insights.
• You will create mixed-effect and causal inference models to understand interaction effects or suboptimal product configurations.
• You will establish and oversee anomaly detection systems to alert on changes or anomalies in product or system metrics.

What Skills You Will Need

• You have 6 years of experience in Analytics, Business Intelligence or Data Strategy roles in a Payments or a \'Direct to Consumer\' company dealing with complex high-velocity data.
• You have a Master\'s degree in Computer Science, Electrical/ Computer Engineering, Data Science, Business Analytics, Industrial & Systems Engineering, Operations Research, Mathematics/ Statistics, or related technical disciplines.
• You are proficiency in data query and manipulation using SQL, and in data visualisation tools such as PowerBI. You have experience with Big Data technologies like Spark or PySpark.
• You have practical experience conducting controlled experiments in the industry. You can create mixed-effect and causal inference models.
• You use quantitative analysis to influence business or product decisions. You can derive insights and formulate data-driven hypotheses.
• You can present complex data and strategies to both technical and business audiences, and direct expert teams to launch products/ services.

Additional InformationLife at GrabWe 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.

What we stand for at GrabWe are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other att

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