Senior Business Intelligence Analyst (AI) – Credit, Business Intelligence

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Its mission is to better the lives of individuals and businesses in the region with financial services through technology.

Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech. By leveraging technology and strategic partnerships, Monee aims to drive greater digital financial inclusion, convenience, and accessibility for individuals and small businesses across Southeast Asia and Latin America.

Monee is part of Sea Limited, a global technology company.

• Act as a senior subject matter expert in retail finance (credit) data and business processes, guiding analytics strategy and solutions.
• Partner with business stakeholders to define complex problems, translate business questions into data solutions, and deliver actionable insights.
• Lead the design and implementation of advanced analytical frameworks (user analysis, conversion funnels, A/B testing, predictive modeling) to uncover business opportunities through systematic analysis
• Consolidate, structure, and maintain data from multiple sources to create comprehensive dashboards, reports, and KPIs for strategic decision-making.
• Collaborate closely with data engineering teams to architect and optimize data marts, pipelines, and scalable analytics solutions.
• Develop, maintain, and enhance variable tools, workflows, and operational processes, leveraging both traditional and GenAI approaches to maximize efficiency and accuracy.
• Mentor junior analysts, review their work, and promote best practices in analytics, data quality, and reporting.

• Bachelor’s degree or higher in Artificial Intelligence, Computer Science/Engineering, Data Science, Statistics, Mathematics, Business Analytics, Information Technology, Finance/Banking, or related fields.
• Minimum 3 years of relevant experience in data analytics, BI, or data engineering.
• Strong proficiency in SQL and Python (mandatory)
• Proven experience handling large-scale structured datasets for advanced analytics, modeling, and reporting.
• Hands-on experience in designing and maintaining end-to-end data tools, marts, or pipelines.
• Deep knowledge in GenAI tools and experiences in GenAI workflows development is a big plus
• Strong critical thinking, structured problem-solving, and ability to deliver in a fast-paced environment.
• Excellent stakeholder management skills and the ability to influence cross-functional teams.