Full Time Senior Analytics Manager (Payments) Jobs, in Grab Singapore - Ricebowl

Get to Know the Team

The Analytics team empowers data-driven decision-making across our product and business units within the Grab Financial Services ecosystem. As part of the Payments Tech Family, we play a crucial role in driving cashless payments across all Grab verticals, focusing on both enhancing the payment experience and strengthening core payment capabilities. If you thrive on intellectually stimulating challenges and have a passion for data, you'll find a great fit with us. Are you skilled in data wrangling, modeling, and visualization? Do you enjoy experimenting with statistics and mathematics to discover new insights? If so, we'd love to have you on our team. Beyond technical expertise, we seek individuals who embody our core values—the 4Hs: heart, hunger, honor, and humility.

Get to know the Role

You will lead payments analytics teams, working closely with cross-functional partners (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will evaluate the feasibility of new business/product ideas and provide actionable recommendations. This role reports into the Head of Analytics, GrabFin & Platform and is based onsite in Grab Singapore office, offering significant opportunities to shape data strategy and grow as a leader. If this sounds like you, apply now!

The Critical Tasks You Will Perform

• Lead the exploration of business opportunities and formulate data-driven hypotheses to address key challenges, adapting in-production models to new markets to enhance product velocity.
• Collaborate with product and engineering teams to design, execute, and analyze controlled experiments that directly impact key product decisions.
• Develop advanced statistical models (e.g., mixed effect, causal inference) to understand interaction effects and establish anomaly detection systems to monitor product metrics.
• Uphold rigorous standards in measurement and analysis, facilitating the development of analytics tools to assist wider teams in debugging and data summarization.
• Support team members in their professional development, fostering a data-driven culture and coaching analysts on both classical statistical rigor and modern analytics techniques.
• Direct the team's adoption of LLM and GenAI-assisted workflows (e.g., natural language to SQL, automated insights) to enhance the speed and quality of decision-making, while prioritizing opportunities to embed AI capabilities into internal tooling.

What Essential Skills You Will Need

• At least 8 years of experience in Analytics, Product/Business Analytics, or Data Strategy roles, ideally within a Payments or Direct-to-Consumer company dealing with large, high-velocity data.
• A Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Business Analytics, Operations Research, Statistics, or related fields).
• Advanced proficiency in data query and manipulation using SQL, alongside expertise in data visualization tools such as PowerBI.
• Solid foundation in Big Data technologies (e.g., Spark, PySpark) and practical experience conducting controlled experiments in an industry setting.
• A proven track record of using quantitative analysis to influence product management and impact key business decisions.
• You have experience engaging with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute new ideas.