Data Pipeline & Management: Architect, build, and manage end-to-end ETL/ELT pipelines and ingestion workflows to transform raw data from diverse sources into structured BigQuery tables.
Act as the expert for the relevant data domain(s) and primary contact person for divisions and functional units, driving continuous process improvement in this key-contact role.
Data Pipeline & Management: Architect, build, and manage end-to-end ETL/ELT pipelines and ingestion workflows to transform raw data from diverse sources into structured BigQuery tables.
Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
Monitor Data Quality Dashboard results, perform root cause analysis, coordinate corrective actions and lead data cleansing activities to drive sustainable improvement.
You will be the subject matter expert in using data to analyze fraud loss, business/product performance, and the effectiveness of risk controls across different Grab business verticals.
Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.