Business Intelligence Analyst (AI) - Credit, Business Intelligence
Summary
BI Analyst on Monee's credit team in Singapore, acting as the subject-matter expert on retail credit data: defining business problems with stakeholders, building analytical frameworks, dashboards, and data marts, and improving workflows with traditional and GenAI approaches. Core tech: SQL, Python, large-scale structured datasets, and GenAI tools.
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.
- Be a subject matter expert in retail finance (credit) data and business.
- Work closely with stakeholders to understand their needs and pain points, define problems, and implement feasible solutions through data technology.
- Research and implement analytical frameworks (user analysis, conversion funnels, A/B testing, etc.) to uncover business opportunities through systematic analysis.
- Consolidate data from multiple data sources to create integrated views, reports, and dashboards to monitor business performance.
- Work with the data engineering team to structure, curate, and optimize data marts to support scalable data applications
- Develop variable tools/workflows and optimize existing processes to boost operational working efficiency, in both traditional and GenAI approaches.
- Bachelor’s degree or higher in Artificial Intelligence, Computer Science/Engineering, Data Science, Statistics, Mathematics, Business Analytics, Information Technology, Finance/Banking, or other related fields
- Minimum 1 year of relevant experience in data analytics and data engineering
- Proficiency in SQL and Python (mandatory)
- Experiences working with large-scale structured datasets for advanced analytics and reporting is a must
- Experiences on end-to-end data tools and data marts development is highly preferred
- Deep knowledge in GenAI tools and experiences in GenAI workflows development is a big plus
- Strong critical thinking and structured problem-solving skills
- Proven ability to adapt in a fast-paced environment and work collaboratively with cross-functional teams