Data Analyst

Grey Tree; Singapore; On-site; SGD 54,000 - 78,000; Full time

Job summary

Grey Tree is seeking a Data Analyst, Accounting & Controlling to join the finance team. The role focuses on automation, digital transformation, and AI-enabled solutions across AP and other processes.

You will design and implement scalable automation using Power Platform, Python, and SQL, with strong emphasis on data quality and governance. Ideal candidates have 1-2 years of experience in automation or analytics and a degree in CS/IT/Analytics or engineering.

Qualifications

• 1-2 years of experience in automation, digital transformation or data analytics.
• Bachelor's degree in a related discipline is required.
• Proficient with Power Automate, Power BI, Python, SQL and advanced Excel.

Responsibilities

• Shape and drive new automation opportunities to support digital transformation within the finance function
• Recommend and implement automation and innovative digital solutions to improve operational efficiency and eliminate manual processes.
• Design and develop automation solutions using Power Automate, Python, and Microsoft ecosystem tools.
• Improve reporting accuracy through robust data quality, governance, and validation practices.
• Develop and maintain technical documentation, process guides, and knowledge transfer materials to ensure solution sustainability and maintainability.
• Act as a backup for the Accounts Payable (AP) team, providing coverage during leave or periods of absence.
• Identify and lead automation opportunities across AP and other repetitive accounting tasks (e.g., reconciliations), leveraging data science and machine learning tools to reduce manual effort and risk.
• Continuously review and improve AP processes and controls to increase efficiency, accuracy, and consistency.

Skills

Automation

Data Analytics

Power BI

Python

SQL

Education

Bachelor's degree in CS/IT/Data Analytics/Engineering

Tools

Power Automate

Excel (Advanced)

Microsoft Power Platform

Job description

Our client is one of the world's leading independent commodity trading houses. As part of their expansion, they are seeking a Data Analyst, Accounting & Controlling to join their finance team.

This is a great opportunity for Data Analysts who are passionate about driving digital transformation, developing automation solutions and applying AI technologies to improve operational efficiency.

About the role

You will play a key role in working closely with cross-functional stakeholders across Operations, IT, and other business teams, designing and implementing scalable automation solutions using Microsoft Power Platform, Python, Power BI, and emerging AI technologies such as Microsoft Copilot and Claude. As part of the role, you will:

• Shape and drive new automation opportunities to support digital transformation within the finance function
• Recommend and implement automation and innovative digital solutions to improve operational efficiency and eliminate manual processes.
• Design and develop automation solutions using Power Automate, Python, and Microsoft ecosystem tools.
• Improve reporting accuracy through robust data quality, governance, and validation practices.
• Develop and maintain technical documentation, process guides, and knowledge transfer materials to ensure solution sustainability and maintainability.
• Act as a backup for the Accounts Payable (AP) team, providing coverage during leave or periods of absence.
• Identify and lead automation opportunities across AP and other repetitive accounting tasks (e.g., reconciliations), leveraging data science and machine learning tools to reduce manual effort and risk.
• Continuously review and improve AP processes and controls to increase efficiency, accuracy, and consistency.

What we are looking for

• 1-2 years of experience in automation, digital transformation, business process improvement or data analytics.
• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related discipline
• Strong hands-on experience with Microsoft Power Automate, Power BI, Python scripting, SQL and advanced Microsoft Excel (Power Query, complex formulas).
• Experience working with data extraction, transformation, cleansing, validation, and reporting.