Senior Data Analyst, ShopeeFood

Shopee; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Shopee is seeking a Regional Business Intelligence Analyst to collaborate with local teams, managing BI projects across multiple markets. This role involves defining key performance metrics and developing dashboards that provide insights into business performance.

The ideal candidate should possess strong analytical skills and the ability to communicate complex analyses to senior management. The position is based in Singapore and focuses on enhancing workplace efficiency through AI integration.

Responsibilities

• Drive end-to-end BI projects across multiple markets with local teams.
• Define and maintain key business performance metrics with senior management.
• Develop and maintain interactive dashboards and reports for business insights.

Job description

Overview

As a Regional Business Intelligence Analyst, you will:

• Work closely with local teams to drive end-to-end BI projects across multiple markets, coordinating stakeholders from different business functions to ensure timely and successful project delivery
• Define and maintain key business performance metrics across the region, partnering with senior management and local business teams to drive alignment on KPI definitions and reporting methodologies, ensuring consistency and comparability across markets
• Develop and maintain interactive dashboards and reports to provide visibility into business performance
• Leverage both technical expertise and business understanding to perform analysis, generate insights, and influence strategic decisions
• Develop executive-ready presentations and data-driven storytelling materials that effectively communicate complex analyses, business insights, and strategic recommendations to senior management and key stakeholders
• Lead regional workplace AI adoption initiatives by identifying high-impact use cases, promoting best practices, and driving the integration of AI-powered tools into daily business processes to improve productivity and operational efficiency