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Business Requirement Analysis & Data-Driven Execution
- Gain a deep understanding of front-end business logic in the APAC region (user growth, product operations, marketing), and translate business requirements into actionable data needs. Collaborate with the group data team to develop reports, dashboards, and analytical tools.
- Responsible for building and analyzing user segmentation models (e.g., RFM model), monitoring key product operational metrics (LTV, conversion rate, retention rate), assessing ROI of marketing campaigns, and conducting channel attribution analysis.
- Based on data insights, provide practical business recommendations to the operations team (e.g., optimization of user operation strategies, product iteration direction), and promote the adoption of a data-driven culture within business teams.
Cross-Team Collaboration & Data Governance
- Act as a bridge between business units and the group data team; lead communication of requirements, data validation, and quality control of dashboard deliverables to ensure alignment with business needs.
- Design and maintain a business-specific data labeling system for the APAC region.
Special Projects & Strategic Support
- Independently carry out in-depth analysis projects (e.g., identifying characteristics of high-value users, marketing funnel optimization, competitor benchmarking analysis), produce data storytelling reports, and present findings to senior management.
- Support strategic planning in the APAC region by identifying growth opportunities through market trend analysis and internal data diagnostics.
Requirements:
- Bachelor’s degree or above; majors in Statistics, Data Science, or Financial Engineering preferred. 5+ years of experience in data analysis for Fintech or trading platforms is a plus.
- Proficient in SQL and Python/R, experienced in building dynamic dashboards using Power BI or Sensor, with a good understanding of tracking mechanisms and basic data warehouse architecture.
- Solid experience in A/B test design and evaluation; familiar with user behavior analysis, predictive modeling, and other quantitative methods.
- Able to quickly identify pain points in marketing, operations, and product departments, and convert vague requirements into clear data-driven solutions.
- Skilled at simplifying complex data findings into visual narratives to effectively communicate with non-technical decision-makers.
- Fluency in both Chinese and English is required to communicate effectively with stakeholders in markets such as Mainland China and Taiwan, where business discussions and documentation are conducted in Chinese
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