Finance Analytics Engineer APAC (Based in Kelapa Gading)

The Finance Analytics Engineer is responsible for developing and maintaining data solutions that enable accurate, timely, and actionable business insights for Finance and Commercial teams

This role designs and manages data pipelines, maintains critical master data, automates business processes, and develops interactive dashboards to support data-driven decision-making across multiple markets and business functions

Key Responsibilities

• Data Management & Governance
• Maintain and govern business master data to ensure accuracy, consistency, and integrity across systems
• Develop and implement data validation, reconciliation, and quality control processes
• Document data definitions, business rules, and data transformation logic
• Data Engineering (ETL)
• Design, develop, and maintain ETL processes to consolidate data from multiple sources
• Automate recurring data processing and reporting workflows
• Business Intelligence
• Develop, maintain, and enhance interactive dashboards and self-service reporting solutions
• Build standardized datasets to support consistent business reporting across markets
• Automation & Digital Solutions
• Identify opportunities to automate manual business processes
• Develop automation solutions using Excel, Python, and other technologies to improve operational efficiency
• Support deployment and maintenance of web-based analytics solutions
• Business Partnership
• Translate business needs into scalable analytical and reporting solutions
• Provide analytical support for strategic initiatives and ad hoc business requests

• Bachelor's degree in Data Science, Data Analytics, Business Analytics, Finance, or a related discipline
• Minimum 3 years of experience in data analytics, business intelligence, data engineering, or reporting automation (FMCG experience will be a plus)
• Good proficiency in Excel (including Power Query), SQL, and Python
• Hands-on experience building dashboards in Power BI, Tableau, or Looker
• Experience deploying a dashboard to a web-based server is an advantage
• Comfortable working with data from multiple sources, including manual/Excel-based inputs and non-standardized formats, in addition to system-generated data (e.g. SAP)
• Excellent attention to detail, with the ability to perform detailed data mapping and validation