Senior Data Analyst

Grab (Jakarta Metropolitan Area)

DKI Jakarta, Indonesia

Grab is Southeast Asia’s leading superapp, offering a suite of services consisting of deliveries, mobility, financial services, enterprise and others. Grabbers come from all over the world, and we are united by a common mission: to drive Southeast Asia forward by creating economic empowerment for everyone. At Grab, every Grabber is guided by The Grab Way, which explains our mission and the operating principles on how we can achieve it together. We call these principles the 4Hs: Heart We work together as OneGrab to serve communities in Southeast Asia Hunger We work to understand ground truths and drive improvements, big and small Honour We keep our word and steward our resources wisely to build and sustain trust Humility We are a constant work-in-progress, and we never stop learning to get better

About this position

Grab is seeking a Senior Data Analyst to empower Finance stakeholders with data products, process automation, and insights generation for better decision-making. The role involves analyzing performance across markets and collaborating with various teams to enhance Grab's data capabilities.

Responsibilities

• Be our expert in using data to measure and analyse performance in each our markets and lines of business.
• Explore business issues/opportunities, uncover insights and identify targeted areas for business growth.
• Partner with the Finance teams to deep dive on core issues and use our data to find answers.
• Collaborate with multiple expert teams to rollout products/services and to expand Grab's universe of data for building richer insights.
• Lead new data analytics capability rollouts and data-led projects throughout Grab Finance functions.

Requirements

• A Bachelor's/Masters degree, preferably in Analytics, Statistics or Engineering.
• 5+ years of experience or multiple internships in Analytics, Business Intelligence or Data Science role, preferably in an Internet or 'Direct to Consumer' company with large, complex, high velocity data.
• Experience in business, strategy and/or tech consulting would be an advantage.
• Strong foundation in data query/manipulation using SQL and data visualisation using tools like PowerBI.
• Experience in Azure Data Services (i.e. Azure Storage, Data Factory, DevOps, Snowflake) and multidimensional modeling is a strong plus.
• Experience using Big Data technologies (Spark, PySpark, Azure Databricks) is a strong plus.
• Experience in working with FP&A domain is a strong plus.