Business Intelligence Analyst (AI & Data Analytics)

About The Team

The Business Intelligence and Data Analytics team is the engine behind our data-driven business iterations. This year, we are evolving our core capabilities by integrating AI into our workflows. We are looking for a forward-thinking Junior BI Analyst to support our AI transformation by helping to bridge the gap between traditional analytics and next-generation intelligence.

Job Description

Data analysis: Conduct in-depth analysis to identify trends, patterns, and opportunities for the Shopee cross-border business organisation

AI-augmented support: Support senior leads in implementing AI initiatives that drive internal productivity and predictive business modelling

Efficiency via AI agents: Utilise and build internal AI agents to automate repetitive data tasks and streamline team workflows

Smart reporting: Evolve traditional BI dashboards into intelligent dashboards by incorporating predictive features and automated insight summaries

Data product support: Collaborate with stakeholders to provide data support for AI-assisted simulation models and decision-support tools

KPI reporting: Maintain data integrity and streamline data processes to ensure accurate and timely reporting

Requirements

Bachelor's or Master's degree in a quantitative field (Data Science, Analytics, Engineering, Statistics, or Mathematics)

Min 1 year of experience in Business Intelligence, Data Analytics, or Data Engineering; experience within e-commerce or social media is preferred

A demonstrated track record of using AI to improve personal or team productivity is highly desirable

Proficiency in SQL and Python, particularly for data manipulation and automation

Experience with BI tools such as Tableau, Power BI, or Google Looker Studio

Understanding of fundamental machine learning concepts (e.g. regression, clustering, forecasting)

Hands-on experience with agent-building tools or frameworks, and familiarity with LLMs (e.g. OpenAI API, Claude) and prompt engineering for data analysis is preferred

Comfortable working in a supporting role within a dynamic, evolving environment

Able to explain technical outputs and data insights to non-technical stakeholders clearly

Strong problem-solving skills, with the ability to identify root causes and propose practical, including AI-augmented, solutions