Data Analyst

SupportFinity™; Petaling Jaya; On-site; MYR 60,000 - 90,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

Grab in Malaysia is seeking a data analytics professional to join the Integrity team. You will analyze user and transaction data to identify risk patterns and support fraud prevention initiatives.

Reporting to the Analytics Manager, you will build detection rules, dashboards, and conduct experiments to quantify trade-offs and improve safety on the platform.

Qualifications

• 2+ years as hands-on analyst in a high-tech company.
• Technical degree in Computer Engineering, Information Technology, Data Sciences, Maths or related fields.
• Strong SQL for large datasets and experience with Python or R.
• Experience building BI dashboards (Tableau, Power BI, or similar) and communicating insights to non-technical stakeholders.
• Knowledge of core statistical concepts and experimentation basics.
• Familiarity with GenAI/LLM tools with emphasis on data privacy and security.

Responsibilities

• Analyze large-scale user, partner, and transaction data to identify risk patterns, trends, and anomalies; recommend targeted mitigation strategies.
• Build and iterate data-driven detection (rules, thresholds, signals/heuristics) and support simulations/impact analysis to balance fraud catch with user friction.
• Create, maintain, and automate dashboards/monitors that track key risk and performance metrics (precision/recall, false positive rates, incident trends, financial impact).
• Conduct statistical analyses and experimentation (e.g., A/B or backtesting) to validate changes, quantify trade-offs, and guide policy/strategy updates.
• Partner with Product, Engineering, Data science and strategy teams to scope problems, align on success metrics, and operationalize solutions.
• Contribute to incident reviews, root-cause analyses, and prevention playbooks; help institutionalize learnings into processes and tooling.
• Leverage AI/LLM tools responsibly to accelerate analysis, documentation, and prototyping.

Skills

SQL

Python

R

A/B testing

Statistics

GenAI/LLM

Data privacy

BI dashboards

Education

BSc in CS/IT/Math

Tools

Tableau

Power BI

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

The Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges, from ensuring safety to preventing fraud. We are involved in the entire data lifecycle, including analyzing user behavior, identifying anomalies, and developing detection and prevention modules for suspicious activities. If you're enthusiastic about solving complex problems that have a direct, real-world impact, we'd love to have you on board!

Get to Know the Role

Reporting to our Analytics Manager in the Integrity team (Trust, Identity & Safety), you will help analyze data to understand user behaviors and identify potential risks on our platform. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.

The Critical Tasks You Will Perform

• Analyze large-scale user, partner, and transaction data to identify risk patterns, trends, and anomalies; recommend targeted mitigation strategies.
• Build and iterate data-driven detection (e.g., rules, thresholds, signals/heuristics) and support simulations/impact analysis to balance fraud catch with user friction.
• Create, maintain, and automate dashboards/monitors that track key risk and performance metrics (precision/recall, false positive rates, incident trends, financial impact).
• Conduct statistical analyses and experimentation (e.g., A/B or backtesting) to validate changes, quantify trade-offs, and guide policy/strategy updates.
• Partner with Product, Engineering, Data science and strategy teams to scope problems, align on success metrics, and operationalize solutions.
• Contribute to incident reviews, root-cause analyses, and prevention playbooks; help institutionalize learnings into processes and tooling.
• Leverage AI/LLM tools responsibly to accelerate analysis, documentation, and prototyping.

Qualifications

What Essential Skills You Will Need

• At least 2 years of experience as a hands-on analyst in a high-tech company
• A technical degree in Computer Engineering, Information Technology, Data Sciences, Maths or related fields.
• Strong SQL for large datasets (joins, window functions, CTEs); experience with at least one analytical language (Python or R).
• Experience building BI dashboards (Tableau, Power BI, or similar) and communicating insights to non-technical stakeholders.
• Working knowledge of core statistical concepts (hypothesis testing, probability distributions, regression) and experimentation basics..
• Ability to highlight basic trade-offs and move initiatives forward with guidance from managers and peers.
• Familiarity with GenAI/LLM tools to improve productivity (e.g., query drafting, documentation, code assistance), with attention to data privacy and security.
• A growing interest in the risk management space and the ability to leverage non-technical knowledge to increase the relevance of your work.

Additional Information

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.

About the company

Grab