Business Intelligence (Monee)
Job Description
Job Description
- 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.
- 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
- 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
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