Junior/Senior Business Intelligence Analyst (Financial Product & Services)

What you’ll Do:

• Boost LINE MAN financial products & services performance leveraging exploratory and advanced data analysis.
• Define and measure financial and service metrics (e.g., transaction volume, revenue, margin, approval rate, default rate, activation, retention) with the business and product team to support data-driven decisions.
• Work with a team to prioritize financial product development, monetization initiatives, and risk optimization opportunities.
• Visualize and simplify financial and operational data to identify opportunities to improve profitability, user experience, and risk management.
• Develop and manage BI solutions to support financial reporting, product performance tracking, and business planning.
• Support financial forecasting, budgeting analysis, and performance tracking of financial initiatives.
• Collaborate with risk, finance, and compliance teams to ensure metric consistency and standards.
   

What you’ll Need: 

• 3+ years of experience in Business Intelligence, Data Analytics, or related fields, preferably in financial services, fintech, payments, lending, or e-commerce.
• Knowledge of statistics and experience using data analytics tools (PowerBI, Tableau or similar BI tools).
• Knowledge of and experience with reporting tools, databases (SQL), and programming (Python).
• Strong analytical and problem-solving skills, with the ability to interpret financial and risk-related data.
• Understanding of financial metrics such as revenue, contribution margin, CAC, LTV, delinquency rate, approval rate, or fraud indicators.
• Great communication skills in both Thai and English – able to communicate findings and write clear, comprehensive reports.

It’d be great if you have: (If any) 

• A good understanding of statistical modelling or machine learning techniques
• Experience working with ETL, data pipelines, or financial data warehouses.
• Experience in fintech, digital wallet, lending, insurance, payment gateway, banking, or consulting.
• Experience working with risk analytics, credit scoring, fraud detection, or financial forecasting.