Data Analyst - Global Payments (Third-party Contractor)

ByteDance is hiring for Contract Data Analyst - Global Payments (Third-party Contractor) - Singapore, an entry-level AI/ML/Data Science role . Responsibilities: About the team: The Global Payment team is building a platform to provide cross-border payment solutions for all ByteDance's products and services, that are growing rapidly worldwide. The Data Intelligence team in Global Payments leads the efforts of discovering data-driven business values for Global Payments, by collecting, visualising and mining generated data from the pipeline of whole Global Payments system. The outcomes include optimising the key business metrics, improving Global Payments products and user experiences, risk management through data intelligence, predicting the trends from historical data, etc. We are looking for talented individuals to join the Data Analyst team for a 5 month contract position based in Singapore. Responsibilities: 1. Responsible for supporting analysis requirements for Global Payments, such as ad-hoc analysis report, dashboards building, data tracking design, etc; 2. Use data-driven techniques to find weaknesses in payment products and implement improvements proactively; 3. Build data products to provide our customers with data insights and best practices in the Payments domain; 4. Cooperate with Products and Operation teams to define system requirements, build data products, improve and roll-out product features to support business. Qualifications: Minimum Qualifications: 1. Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors; 2. Proficient in SQL, familiar with C ++/Java/Golang is preferred; 3. Proficient in big data platforms such as Hive/ Spark; 4. Strong data analysis capabilities; 5. Experience in supporting and optimising business needs with data analysis Preferred Qualifications: - At least 2 years of experiences and above; - Background in internet companies or payments is preferred; - Strong interest in Data Analysis, Data Mining is preferred；

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