Data Analyst

KRYJAS PRIVATE LIMITED; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

KRYJAS PRIVATE LIMITED is seeking an experienced Data Analyst with strong financial and operational analytics to build and maintain data index systems, perform cost/ROI analyses, and provide insights that drive planning and performance improvement.

Responsibilities include developing automated accounting checks, dashboards, and KPI reporting using Excel and Tableau, and collaborating with finance and operations to translate reporting requirements into actionable recommendations.

Qualifications

• At least 7 years of experience in a data/analytics role.
• Proficient in SQL across Hive, Presto, and MySQL.
• SPSS for statistical analysis (factor/cluster/variance).
• Excel and Tableau for data visualization and dashboarding.
• Experience in cost analysis, ROI analysis, or financial control/account-checking is required.
• Basic Python (NumPy, Pandas) for data processing an advantage.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Build and maintain financial operation index systems and monitor key indicators daily.
• Support automated account-checking and financial control systems to reduce risk and capital losses.
• Perform cost analyses and revenue/cost breakdowns for ROI improvements.
• Extract, consolidate, and analyze data from multiple sources using SQL across Hive, Presto, and MySQL.
• Apply statistical techniques using SPSS to support business diagnostics.
• Develop and maintain management reports, dashboards, and KPIs with Excel and Tableau.
• Collaborate with business, finance, and operations to translate reporting needs into data-driven recommendations.
• Assist in improving and automating reporting and data analysis processes to reduce manual work and errors.

Skills

Data analytics

Financial/operational analytics

SQL

Excel

Tableau

Python (NumPy Pandas)

Statistical analysis

Communication

Cross-functional collaboration

Tools

Hive

Presto

MySQL

Job description

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.