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 ACE (GrabFood, GrabMart, GrabExpress, OmniCommerce) Analytics team is the analytics and data powerhouse behind Grab's critical business egement. Here, innovation meets action. We're not just a team; we're trailblazers, committed to solving the most pressing challenges for our consumers, driver-partners, and merchant-partners leveraging data. From revolutionizing the consumer order experience to enhancing platform reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

Reporting to Senior Analytics Manager, you'll collaborate across disciplines (Product, Business, Engineering, Design, and Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

You will propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
You will your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
You will collaborate with stakeholders to define key product metrics and design experiments including A/B testing that shape the future of our products.
You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with the engineering teams.
You will drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

Qualifications

What Essential Skills You Will Need

At least 4 years in data-related or quantitative fields,
Fluent in SQL, Python, R, or other scripting/programming languages, and comfortable with very large datasets and complex ETL processes.
Statistical knowledge is a must. You have hands-on experience in running and analyzing controlled experiments, turning data into actionable insights. You're almost like an A/B Test Sensei!
Data visualization and storytelling skills. Experience creating dashboards using Tableau or other visualization tools. Knowledge of Azure tool stack (Databricks, PowerBI, Azure Data Explorer)
Effective communication and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialists.

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.

Senior Data Scientist (Analytics) - Deliveries