Lead / Senior Data Scientist (Product Analytics), Grab Support

Data Analytics; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

A leading team in the support of Grab's Partners is seeking a Senior Product Analyst to enhance product decision-making through data insights. The role involves collaboration with various teams and requires strong analytical skills to recommend innovative solutions based on data analysis.

Qualifications

• Great analytical skills to support data-driven product decisions.
• Experience with A/B testing and performance analysis.

Responsibilities

• Align business objectives with data recommendations.
• Measure and analyze performance across markets using data.
• Design and implement experiments to guide product decisions.

Skills

Analytical skills

Data-driven decision making

A/B testing

Collaboration

Job description

Get to Know the Team

The Grab Support team supports Grab's Partners, including drivers, passengers, and merchants, in using our products. The team is responsible for delivering exceptional customer service for our drivers, passengers, and merchant partners. As a Senior Product Analyst, you'll have the opportunity to collaborate with experts in technology, analytics, and business operations to drive the vision and growth of our platform.

Get to Know the Role

We are looking for a Senior Product Analyst with great analytical skills to help product teams be more data-driven and objective and guide the design of controlled experiments. You will work closely with different teams within a business line (Product, Business, Engineering, Design and Data Science) to understand data requirements, identify key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

You will report to the Product Analytics Manager, and work onsite at the Grab Singapore One North office.

The Critical Tasks You Will Perform

• You will dive into data to align with business objectives, recommending novel solutions, including AI-driven strategies to address key customer challenges.
• You will measure and analyze performance across markets and business lines using data.
• You will develop analytical frameworks for identifying common patterns in recurring hypotheses and problems.
• You will create models that examine product configurations and explore interaction effects.
• You will monitor metrics, perform root cause analysis on metric shifts, and report findings.
• You will design and implement experiments to guide product decisions, including A/B testing, analysis, and recommendations.