Senior Business Analytics Specialist

About the role

It takes a village to give a safe and delightful service to our customers. As things get more complex, “the village” needs highly skilled data analysts who can lift their head above the noise and guide us through data insights on what is truly best for our customers. This is you. You will support data projects working with different teams across Grab with the purpose of giving our customers the best service in the world.

Responsibilities

Functional

• Independently assemble large and complex data sets that meet the business or analytical needs
• Build and deploy data models that help optimize support experience
• Work closely with the Business or Operations Teams to understand their problem statements and conceptualize analytics frameworks that convert business problems into technical hypotheses
• Design and recommend A/B testing to evaluate the model performance and provide interpretation of the experiment results, and provide data-driven recommendation
• Develop and maintain data insights and performance dashboards

Customer

• This is everything. You have to be the radical advocate for our users, laser focused on the quality of their experience with us above anything else

People

• Lead the charge: Influence and serve in order to deliver through others
• Role model at all times Grab 4Hs to ensure we are always, always, working in a way that our behaviours would make us proud

Requirements

• At least 3 years of data analytics experience
• High level of flexibility in working in a high-pressure working environment
• Project management skills - Proven track record in executing and delivering projects independently
• Strong interpersonal skills and ability to work with stakeholders across several organization levels and several cultures
• Bachelor degree with strong academic track record
• Advanced knowledge of analytical tools such as Power Apps, PowerBI
• Strong knowledge in SQL to extract large disconnected datasets on Azure/AWS data platform
• Preferred knowledge of data programming (Python, R)
• Familiar with User experience function and tools is good to have
• Familiar with startup environment and understanding of dynamics between design, engineering, product and customer service are a plus