Finance Data Scientist

4 weeks ago


Singapur, Singapore TikTok Full time

Team Introduction

:Finance BP and Business FP&A is a sub-department of Finance. It aims to improve management efficiency, reduce financial exposure, and strengthen budget control by providing business analysis and management reports. The team aims to provide timely, accurate and easy-to-use financial information, provide valuable financial perspective observation and opinions. We are looking for professional business intelligence and data analysts who will play a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also to proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Responsibilities:1. Understand the logic behind key metrics and indicators, and integrate business and financial data to establish a solid foundation for financial analysis.2. Understand business logic, abstract key metrics to indicate business issues, and provide systematic solutions for analyzing certain topics.3. Identify issues and risks, delve into business details, uncover drivers of development, and identify opportunities and business risks.4. Communicate data findings with clarity and precision, and provide feasible recommendations to support business decision-making.5. Optimize financial reporting systems based on group financial systems, drive the implementation of optimization solutions, enhance data automation, and design validation logic to ensure data accuracy.6. Liaise with internal system development, effectively gather and integrate team requirements, produce requirement documents, and drive system development.

Minimum Qualifications: 1. Minimum 5 years of relevant working experience in a similar position. Bachelor's degree or above in Statistics, Data Analysis, Data Science, Financial Engineering, or related fields.2. Internet or consulting related work experience is preferred. Have a strong desire to pursue a long-term career in finance-related roles.3. Proficient in SQL, and familiar with data processing tools such as Hive and Spark are advantageous. Preferred Qualifications: 1. Curious about new areas, able to quickly with business updates2. Strong communication and coordination skills, with the ability to organize and drive cross-departmental collaboration projects.
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