Analytics Manager II, Financial Services

Grab; Singapore; On-site; SGD 180,000 - 240,000; 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 is seeking an experienced Lead, Payments Analytics to define data strategy, track metrics, and drive growth across Southeast Asia's fintech ecosystem. You will collaborate with Product, Engineering, Design and Data Science to turn insights into actions.

You will mentor analysts, build advanced models, and establish analytics frameworks while embracing GenAI workflows to boost productivity and decision quality.

Qualifications

• 7+ years in product analytics, data strategy, or finance tech analytics.
• Experience mentoring analytics professionals across distributed teams.
• Advanced SQL skills and BI dashboard experience.

Responsibilities

• Lead payments analytics and define data strategies.
• Collaborate with Product, Engineering, Design and Data Science.
• Evaluate new payment features and advise leadership.
• Mentor analytics team and promote statistical rigor.
• Adopt GenAI workflows to improve efficiency and insights.
• Translate quantitative findings into strategic roadmaps.

Skills

Product analytics

Mentoring analytics professionals

SQL

PowerBI

Tableau

Python/PySpark

Experimental design

AI tools adoption

Tools

PowerBI

Tableau

Python

PySpark

Spark

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.

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 our Financial Services tech family, we help scale digital financial solutions across Southeast Asia. If you thrive on complex problem-solving and have a passion for data wrangling, advanced modelling, and statistical experimentation, you'll find a collaborative and ambitious team here. Beyond technical craft, we value individuals who embody our core principles—the 4Hs: Heart, Hunger, Honour, and Humility.

Get to Know the Role

You'll lead our payments analytics team, collaborating directly with Product, Engineering, Design, Business, and Data Science partners to define data strategies, track ecosystem metrics, and unlock actionable growth levers. You'll evaluate the viability of new payment features and provide high-impact recommendations to senior leadership. You'll report to the Senior Manager, Financial Services and will be based onsite at Grab One North Singapore office, and offers significant scope to shape product analytics and mentor high-caliber analysts.

The Critical Tasks You Will Perform

• You will formulate hypotheses and model business opportunities to solve key payments challenges, adapting in-production models across regional markets to accelerate product velocity.
• You will partner with product and engineering teams to design, execute, and evaluate controlled experiments that directly determine product rollout decisions.
• You will build advanced statistical and econometrics models (e.g., mixed-effects, causal inference, and anomaly detection) to measure user behaviors and monitor product health.
• You will establish analytics and measurement standards, guiding the creation of internal analytics frameworks and tools that streamline data summarization and debugging for cross-functional partners.
• You will mentor and develop analytics team members, establishing strong statistical rigor, technical capability, and best practices across the team.
• You will direct the team's adoption of GenAI workflows (e.g., natural language to SQL, automated exploratory data analysis, and report generation) to increase operational efficiency and embed AI-assisted analytics into daily operations.

What Essential Skills You Will Need

• At least 7 years of experience in product analytics, business analytics, or data strategy, dealing with large-scale, high-velocity data in fintech, banking, or consumer tech platforms.
• At least 2 years of experience managing or mentoring analytics professionals across distributed or regional teams.
• Advanced proficiency in SQL for complex data manipulation, alongside hands-on expertise building dashboards in business intelligence tools such as PowerBI or Tableau.
• Hands-on experience in Big Data frameworks and scripting (e.g., Python, PySpark, Spark) for data transformation and statistical analysis.
• Practical expertise in experimental design (A/B testing, multivariate testing, causal inference) within a fast-paced production environment.
• Demonstrated ability to translate complex quantitative findings into strategic roadmaps and business decisions for technical and non-technical stakeholders.
• You have experience engaging with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute new ideas.

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.