Data Analyst

We are looking for a Data Analyst with strong financial and operational analytics experience to build and maintain data index systems, perform cost/ROI analysis, and provide data-driven insights that support business planning and performance improvement.

Key Responsibilities

• Build and maintain financial operation index systems, monitoring key indicators daily to identify issues and drive optimization.
• Support the design and upkeep of automated account-checking and financial control systems to reduce risk and capital losses.
• Perform cost analysis and revenue/cost breakdowns to support ROI improvement initiatives.
• Extract, consolidate, and analyse data from multiple sources using SQL across Hive, Presto, and MySQL environments, ensuring data accuracy and consistency.
• Apply statistical analysis techniques (e.g. principal component/factor analysis, cluster analysis, variance analysis, chi-square tests) using SPSS to support business diagnostics.
• Develop and maintain management reports, dashboards, and KPIs using Excel and Tableau to support business monitoring and decision-making.
• Partner with business, finance, and operational stakeholders to translate reporting requirements into actionable, data-driven recommendations.
• Support the improvement and automation of reporting and data analysis processes to reduce manual work and improve efficiency and accuracy.

Requirements

• At least 7 years of experience in a data analyst, business analyst, or financial/operational analytics role.
• Proven experience building or maintaining a financial operation index or performance-monitoring system.
• Proficient in SQL, with hands-on experience across Hive, Presto, and MySQL for data extraction and processing.
• Working knowledge of SPSS for statistical analysis (e.g. factor analysis, cluster analysis, variance analysis).
• Strong skills in Excel and Tableau for data visualisation and dashboard development.
• Experience in cost analysis, ROI analysis, or financial control/account-checking systems is required.
• Basic working knowledge of Python (NumPy, Pandas) for data processing is an advantage.
• Strong communication skills, with the ability to work cross-functionally with business, finance, and operations teams.