Senior Product Analyst (Grab Support)
Grab
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 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
- Dive deep into data to align with business objectives, recommending novel, data-driven solutions, including AI/ML strategies, to address key customer challenges.
- Define, track, and measure critical business metrics. Develop analytical frameworks and sophisticated models to examine product configurations and validate hypotheses.
- Design, implement, and analyze rigorous A/B tests and experiments to guide product decisions, ensuring findings lead to clear, data-backed recommendations.
- Proactively define and monitor key metrics, performing root cause analysis on metric shifts or anomalies to quickly deliver actionable insights.
- Transform complex data into concise, high-quality insights via reports and dashboards for executive decision-making, and contribute to data pipeline and custom data science model development.
Qualifications
What Essential Skills You Will Need
- You have at least 4 years of experience in data-related or quantitative fields such as Analytics, Data Science, Statistics, or Mathematics.
- You are fluent with SQL, Python, R or other scripting/programming languages.
- You are experienced in handling large datasets and maintaining complex Extract, Transform and Load (ETL) processes.
- You have solid statistical knowledge and hands-on experience running and analysing controlled experiments.
- You are proficient in creating dashboards using Tableau, PowerBI or other visualisation tools.
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 enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
