Business Intelligence (Monee)

• Develop efficient SQL queries and reusable datasets to support ad-hoc analysis, dashboards, recurring reporting, and business initiatives.
• Build, maintain, and improve dashboards, KPIs, automated ETL/ELT workflows, and analytical solutions supporting Credit Commercial performance.
• Analyze customer behavior, credit-product usage, utilization, portfolio trends, product performance, and operational performance, and conduct root-cause analysis to explain significant KPI movements and business trends.
• Partner with Commercial and business teams to identify growth opportunities through customer segmentation, product penetration, conversion funnels, product adoption, retention, reactivation, cross-sell, and campaign analysis.
• Quantify business opportunities, identify key growth and performance drivers, and translate analytical findings into clear and actionable recommendations.
• Perform data validation, reconciliation, anomaly checks, and business-logic verification to ensure analytical outputs are accurate and reliable.
• Gather and refine stakeholder requirements, align KPI definitions and business logic, and communicate complex findings clearly to technical and non-technical audiences.
• Use approved AI-assisted technologies and automation tools to improve analytical productivity, documentation, and workflow efficiency while validating outputs before business use.

Requirements

• 1 – 2 years of experience in Business Intelligence, Data Analytics, Analytics Engineering, Data Engineering, Product Analytics, Commercial Analytics, or another relevant data-related role
• Strong proficiency in SQL and experience working with large and complex datasets
• Hands-on experience with BI and visualization tools such as Tableau, Power BI, Looker, or equivalent
• Working proficiency in Python for data analysis, scripting, or automation
• Strong analytical, critical-thinking, and structured problem-solving skills with high attention to data accuracy
• Ability to translate technical analysis into clear business insights and recommendations

It’s Great If You Have

• Experience in Credit, lending, BNPL, fintech, digital payments, banking, or e-commerce
• Familiarity with customer segmentation, funnel analysis, experimentation, forecasting, or predictive analytics
• Exposure to Git, Airflow, Spark/PySpark, BigQuery, Snowflake, Databricks, or similar technologies
• Experience working with culturally diverse teams and professional working proficiency in English
• Strong interest in AI, automation, and emerging data technologies