Senior Analytics Manager (Payments)

Grab; Singapore; On-site; SGD 200,000 - 260,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

Grab Singapore is seeking an experienced Analytics Lead to head payments analytics within GrabFin & Platform. You will work closely with Product, Business, Engineering, Design, and Data Science to translate data into actionable insights and shape payment strategy.

With 8+ years in analytics and a Master’s in a quantitative field, you will drive advanced modeling, AB testing, and AI-enabled workflows, while mentoring the team and promoting a data-driven culture.

Qualifications

• 8+ years in Analytics, Product/Business Analytics, or Data Strategy roles, preferably 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.

Responsibilities

• Lead payments analytics teams and cross-functional partners (Product, Business, Engineering, Design, Data Science) to understand data requirements and provide data-driven insights.
• Evaluate feasibility of new business/product ideas and provide actionable recommendations.
• Develop advanced statistical models and anomaly detection to monitor product metrics.
• Uphold rigorous measurement standards and build analytics tools for debugging and summarization.
• Mentor analysts and foster a data-driven culture and modern analytics techniques.
• Direct the team's adoption of LLM and GenAI-assisted workflows to speed decision-making and embed AI into internal tooling.

Skills

SQL

PowerBI

Spark

PySpark

Experimentation

Leadership

Data storytelling

AI tools

Stakeholder management

Education

Master's degree in quantitative discipline

Tools

PowerBI

SQL

Job description

About Grab and Our Workplace

Grab 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.

Company Description

About Grab and Our Workplace

Grab 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.

Job Description

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.

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.

Qualifications

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.

Additional Information

Life at Grab

• 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.