(Senior) Business Intelligence (SBS Performance) - Business Intelligence & Planning, Shopee

BI team underpins Shopee Retail (Outright and Consignment), Warehouse, and Fulfillment services by delivering data-driven insights that improve efficiency, cost control, and growth. Working closely with Strategic Growth, Marketing, BD Acquisition, and Operations, the team ensures cross-functional alignment and enables informed, performance-driven decisions.

Responsibilities

• Data Analysis & Reporting: Develop and manage key performance indicators (KPIs) and dashboards that provide critical insights into supply chain performance, consignment services, and retail operations. This includes building robust reporting frameworks that enhance decision-making processes.
• Business Monitoring: Continuously monitor business metrics, identifying anomalies and trends. Investigate root causes and provide actionable insights to stakeholders through in-depth data analysis.
• Stakeholder Communication: Collaborate with stakeholders across supply chain, retail, and consignment services to understand business needs, gather requirements, and deliver insightful data solutions that align with business objectives.
• Continuous Improvement: Lead initiatives to enhance data management and reporting processes, ensuring data accuracy, consistency, and reliability across all dashboards and reports.

Requirements

• 2+ years’ experience in a Business Intelligence or Data Analytics role with proven business impact.
• Guru in Excel Pivot Table, SQL is a must.
• Capable of leading conversations in cross-functional teams to identify problems, collect requirements, and propose steps to resolve issues - both on a macro-level and a micro-level
• Quick learner with a can-do attitude.
• Strong ability to create user-friendly dashboards and visualizations for stakeholders.
• Excellent written and verbal communication skills to interact with all levels of business stakeholders.
• Fundamental knowledge of statistical programming language (Python, R) to manipulate and draw insights from large data sets.
• Experience with ETL processes or working alongside data engineers is a plus.