Top Data & Analytics Jobs in Singapore

Lead user research and market insights to evaluate customer perception of Airwallex. Design qualitative and quantitative studies, synthesize feedback, present data-driven recommendations to leadership, and collaborate with product, engineering, and commercial teams to integrate insights and improve customer experience.

Lead design, build, and operate distributed, large-scale (batch/streaming) data platforms and pipelines. Drive technical decisions, performance optimization, data architecture (lakehouse), tooling standards, third-party integration, and mentor junior engineers to enable company-wide data-driven capabilities.

Lead growth analytics and revenue systems for Airwallex Singapore. Own KPIs and weekly business reviews, partner with Data Science to build customer intelligence, segmentation, and predictive models, and translate deep-dive analytics into measurable growth plays across funnel, cohorts, retention, and LTV/CAC.

Lead and grow a Data Engineering team to design and deliver reliable batch and near-real-time pipelines, data models, and analytics-ready datasets. Define technical direction for data modeling, pipeline architecture, observability, and governance; improve standards across SQL, dbt, Spark, Airflow, and Databricks; partner with stakeholders to translate business needs into scalable, production-ready data solutions.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform strategy, build scalable multi-region data pipelines, promote best practices, mentor engineers, and enable data-driven decision making and AI readiness across the organization.

Design and build scalable batch and streaming ETL pipelines and data models. Partner with engineers and business stakeholders to deliver reliable SSOT data, ensure data quality, governance, and support ML/AI use cases. Own end-to-end pipeline design, monitoring, and ongoing improvements.

Design and build scalable batch and streaming ETL pipelines and data models, collaborate with stakeholders to translate data needs, ensure data quality and governance, and own end-to-end delivery for Knowledge Platform initiatives in Singapore.

Lead design and delivery of scalable batch and streaming data pipelines for Growth use cases. Improve ingestion, scheduling, and pipeline efficiency; integrate third-party sources; ensure data quality; collaborate with product, engineering, and BI to translate business needs into platform solutions.