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Monee Linkedin · Posted 18d ago

Business Intelligence (Monee)

Bangkok

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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.

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
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