Senior Analytics Manager

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

At Grab, the Product Analytics team drives transformation through data by uncovering and delivering insights to guide our product development and growth strategies. We collaborate across teams so that our data-inspired decisions translate to meaningful user experiences on the platform. If you have a passion for data and enjoy turning insights into impactful actions, this is the time to be part of our dynamic team.

Get to Know the Role

As a Senior Product Analytics Manager, you will report into the Head of Analytics - CX, Growth and Market Insights and work onsite at Grab One North Singapore office. You will lead a team that maximises the use of data to optimize user satisfaction and business outcomes. Your expertise in analytics, data science, and communication will ensure that stakeholders can translate the insights you generate into purposeful decisions for building products that matter.

The Critical Tasks You will Perform

You will:

• Oversee and mentor a team of product analysts to drive impactful contributions to product insights and strategies.
• Formulate data analytics strategies that align with the product roadmap and business objectives.
• Perform analysis to identify trends, growth opportunities, or inefficiencies in product performance.
• Drive actionable product decisions by creating data-driven recommendations for enhancements and optimizations.
• Design, develop, and maintain analytical models and dashboards to support ongoing product reporting and insights.
• Collaborate with product managers, engineers, and other stakeholders to integrate data findings into product development.
• Present analyses, findings, and recommendations clearly to varying audiences (technical and non-technical).

Qualifications

What Essential Skills You will Need

• You have at least 8 years of experience in product analytics within the internet or e-commerce industry.
• A Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or a related field.
• Advanced proficiency in SQL and Python to perform data extraction, analysis, and automation of tasks.
• An understanding of A/B testing and experimentation to validate hypotheses through systematic experimental designs.
• Expertise in creating and optimising data models to enhance reporting functionalities and ensure accuracy.
• Familiarity with Big Data technologies like Spark or PySpark is an advantage for handling large-scale datasets.
• Experience shaping product strategies and delivering measurable business impact through data analysis.

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.