Business Intelligence Analyst (AI) - Credit, Business Intelligence

Monee SG Private Limited; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Monee SG Private Limited seeks a data analytics professional to act as a subject matter expert for retail finance data, collaborating with stakeholders to define problems and deliver data-driven solutions. You will consolidate data from multiple sources and build integrated dashboards to monitor performance.

The role emphasizes GenAI workflows and end-to-end data tool development in a fast-paced environment within Southeast Asia operations.

Qualifications

• Bachelor’s degree or higher in AI, CS, Data Science, Statistics, Mathematics, Business Analytics, IT, Finance, or related field.
• Minimum 1 year of relevant experience in data analytics and data engineering.
• Proficiency in SQL and Python (mandatory).
• Experience with large-scale structured datasets for analytics and reporting.
• Experience with end-to-end data tools and data marts development is preferred.
• Strong knowledge of GenAI tools and workflows is a plus.

Responsibilities

• Be a subject matter expert in retail finance (credit) data and business.
• Work closely with stakeholders to understand needs, define problems, and implement data-driven solutions.
• Research and implement analytical frameworks (user analysis, conversion funnels, A/B testing) to uncover opportunities.
• Consolidate data from multiple sources to create integrated views, reports, and dashboards.
• Collaborate with data engineering to structure and optimize data marts for scalable applications.
• Develop variable tools/workflows and enhance processes, including GenAI approaches.

Skills

SQL

Python

GenAI workflows

Data analytics

Critical thinking

Cross-functional collaboration

Education

Bachelor’s degree or higher in AI/CS/DS/Statistics/Math/Analytics/IT/Finance

Tools

GenAI tools

Data marts development

Job description

About Monee

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