Associate, Reporting Operations

Airwallex
SG - SingaporePosted 24 March 2026

Tech Stack

Job Description

Associate, Reporting Operations ABOUT AIRWALLEX Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. ATTRIBUTES WE VALUE We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. Location: Singapore Role To support Airwallex’s continued global expansion and operational scalability, we are seeking an experienced and highly motivated Data Ops Associate to join our Data Operations team in Singapore. In this role, you will take ownership of complex data pipelines, reporting systems, and automation initiatives that support key functions globally. You will play a key role in designing scalable, reliable, and automation-first data solutions, ensuring high data quality, operational efficiency, and regulatory readiness in a fast-growing fintech environment. Responsibilities 1. Partner closely with key domain and function teams globally to translate business and regulatory requirements to drive robust automated data solutions 2. Design and own end-to-end data operation solutions and scalable data pipelines to support various use cases in multiple output formats through approachable applications 3. Improve data quality, accuracy, and reliability through systematic validation, monitoring, and continuous improvement of data processes, enabling actionable insights for decision-making as well as proactive issue detection and remediation 4. Develop and maintain dashboards, alerts, and data-driven tools to monitor business operations performance, detect opportunities and drive automation initiatives to improve effectiveness and efficiency, and mitigate operational and reporting data risks 5. Act as data subject matter expert, contributing to best practices, documentation, and knowledge sharing across the organization; identify and measure success of function efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends and results Qualifications 1. Bachelor’s degree or above, with 4+ years of relevant experience in data operations, analytics, or data engineering-related roles 2. Strong proficiency in SQL and Python; experience building production-grade data pipelines and automation workflows 3. Solid understanding of data modeling, ETL/ELT processes, data validation, and monitoring best practices 4. Experience working with dashboards, reporting systems, and data delivery mechanisms for business and operationa ... (truncated, view full listing at source)
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