Data Analyst

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 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 the Senior Analytics Manager in the Integrity team (Trust, Identity & Safety), you will take part in identifying, assessing, and mitigating risks through advanced data analysis techniques. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.

This role is based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will analyze massive passenger, driver, and merchant data to develop insights on user behaviors or risks
• You will maintain and monitor key product and business metrics. Create/enhance dashboards to provide a granular, comprehensive view of these metrics and monitor trends
• You will develop and communicate insights and recommended actions to stakeholders to reduce risk by contributing towards rules, machine learning models, and other detection systems
• You will collaborate with cross-functional teams to implement risk management strategies.
• You will leverage the latest Gen AI technologies to aid automation and self serve of metric reporting and RCA
• You will run A/B experiments to support the launch of product features, risk rules or models.
• You will conduct product deep dives to provide insights on funnels, conversion rate and other metrics we are trying to influence
• You will beta test risk platform tools created for scalability and collaborate with data science and engineering teams to improve the usability and adoption amongst analysts

Qualifications

What Essential Skills You Will Need

• A degree in Analytics, Statistics, Economics, Engineering, Information Technology, Data Sciences, Math or related fields.
• At least 2 years in data/product analytics roles ; experience working with large datasets and complex data structures and experimentation
• Proficient in data analysis tools such as SQL, Python, and R
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Experience with Gen AI technologies for solving business problems and enabling more analytics automation/self serve
• Passionate about solving problems – has a need for investigation and data exploration
• Good to have : Knowledge in statistical modeling and machine learning techniques
• Good to have : Understanding of the risk domain and lands

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.