Full-timeTech & engineering· Posted 25 Sept

Analytics Manager II, Financial Services

GrabFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

SingaporeGrab One North Singapore office

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Start: Not stated
Work mode: On-site
Experience: Experienced

About the role

This role leads the payments analytics team within the Grab Financial Services ecosystem, working closely with Product, Engineering, Design, Business, and Data Science partners. It suits someone who enjoys complex problem-solving, data wrangling, advanced modelling, and statistical experimentation, and who can shape product analytics while mentoring analysts. The position reports to the Senior Manager, Financial Services and is based onsite at the Grab One North Singapore office.

What you'll do

Formulate hypotheses and model business opportunities to address key payments challenges, adapting in-production models across regional markets to speed up product velocity.
Partner with product and engineering teams to design, execute, and evaluate controlled experiments that determine product rollout decisions.

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Build advanced statistical and econometrics models, such as mixed-effects, causal inference, and anomaly detection, to measure user behaviours and monitor product health.

Establish analytics and measurement standards, guiding the creation of internal analytics frameworks and tools that streamline data summarisation and debugging for cross-functional partners.

Mentor and develop analytics team members, establishing strong statistical rigour, technical capability, and best practices across the team.

Direct the team's adoption of GenAI workflows, such as natural language to SQL, automated exploratory data analysis, and report generation, to increase operational efficiency and embed AI-assisted analytics into daily operations.

Good to know

Based onsite at the Grab One North Singapore office.
FlexWork arrangements such as differentiated hours are available.

Requirements

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.

Benefits

Term Life Insurance and comprehensive Medical Insurance.
GrabFlex, a flexible benefits package.
Parental and Birthday leave.
Love-all-Serve-all (LASA) volunteering leave.
Confidential Grabber Assistance Programme.
FlexWork arrangements such as differentiated hours.

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Analytics Manager II, Financial Services

About the role

What you'll do

Good to know

Requirements

Benefits

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