Data Analyst - Global Payment - Singapore

About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​Diversity & Inclusion​ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.ResponsibilitiesAbout Global PaymentThe Global Payment team of Bytedance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok.The Data Intelligence team in Global Payment leads the efforts of discovering data-driven business values for Global Payment, by collecting, visualising and mining generated data from the pipeline of whole Global Payment system. The outcomes include optimising the key business metrics, improving Global Payment products and user experiences, risk management through data intelligence, predicting the trends from historical data, etc.Responsibilities:1. Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.2. Prototype analysis pipelines to provide insights, and provide quick responses to business inquiries and events;3. Conduct routine and non-routine end-to-end analyses with large, complex data sets, and make recommendations on appropriate solutions;4. Cooperate with PM / Ops team / R&D / Algo, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.QualificationsMinimum Qualifications:1. Bachelor degree or above in Computer Science, Statistics, Mathematics or other related fields, or equivalent practical experience developing and deploying production-ready ML models, demonstrating the advanced problem-solving and research skills needed for complex data analysis and data mining.2. 5 years and above relevant work experience in Data Analysis, Data Science, with at least 3 years in compliance risk quantification or KYC product analysis.3. Proficient in SQL and Python (or R), with experience handling 100M+ records.4. Experienced in A/B testing, including designing complex experiments and performing deep-dive analyses.5. Experience with conducting structured data analysis on large-scale datasets to identify key business drivers and deliver actionable insights for product and risk optimization.6. Quickly familiar with and starting a new business; Can lead a small project team to support business, with at least 2 years of mentoring or team-lead experience.Preferred Qualifications:- 5 years and above relevant work experience from a large-scale internet business.- Background in internet companies or payments is preferred;- Strong interest in Data Analysis, Data Mining is preferred；