Data Scientist, Regional Business Intelligence & Planning

About the team

The Business Intelligence and Data Analytics team plays 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 in 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.

What you'll do

We are seeking a highly skilled and motivated individual to join our team as a Data Scientist. In this role, you will:

• Gather business requirements from different functional teams and translate them into suitable data solutions
• Convert ambiguous business problems into concrete questions and hypotheses to be solved using data-driven multi-disciplinary problem-solving approaches
• Apply advanced analytics techniques - such as statistical modelling, experimentation, and forecasting — where they add meaningful business value
• Work with various partner teams to ensure data accuracy and integrity
• Leverage data expertise and business understanding to perform analysis and deliver clear, compelling insights to influence business decisions
• Present findings and recommendations to stakeholders at all levels, translating complex analytical outcomes into actionable narratives
• Support BAU business intelligence activities on an ad-hoc basis as needed

Requirements

To be successful in this role, you should have the following qualifications:

• Bachelor's degree or higher in Data Science, Business Analytics, Statistics, Mathematics, Engineering, or a related field
• At least 2 years of relevant experience with handling large volumes of data using SQL & Python (PySpark experience is a plus)
• Proficient in Excel for data manipulation and analysis
• Excellent presentation and storytelling skills, with experience communicating findings to non-technical stakeholders
• Outstanding in interpersonal communications and stakeholder management
• Experience in understanding business problems, translating them into requirements, and coming up with suitable data solutions
• Hands-on experience with advanced analytics methods (e.g. A/B testing, regression, segmentation, forecasting)
• Experience in e-Commerce or the internet industry is preferred