Audit Data Analyst - AI Dashboards & Data Quality (6M)

SCIENTEC CONSULTING PTE. LTD.; Singapore; On-site; SGD 20,000 - 32,000; Full time

Job summary

ScienTec Consulting Pte Ltd is seeking a data-focused assistant to support audit and inspection projects for six months. You will work on data extraction, validation, and research to inform proposals and initiatives.

Responsibilities include data analysis, cleansing, and enhancing dashboards that monitor technology adoption within audit firms, using Excel and other analytics tools. Strong attention to detail and basic AI understanding are preferred.

Qualifications

• Min Diploma in Accounting, Audit, Data Analytics, Business Analytics or Finance.
• Familiarity with data analytics and visualization tools such as Tableau, Python or similar.
• Basic knowledge of data analysis and cleansing with attention to data quality.

Responsibilities

• Support data extraction, validation and research for audit initiatives.
• Conduct data analysis and offsite analysis to back audit activities.
• Assist in improving accuracy of dashboards used to monitor technology adoption in audit.
• Perform data extraction, checking and cleansing to resolve data quality issues.
• Support digitisation and maintenance of historical inspection cases in the CMS.
• Assist with data management and analysis using Excel and other analytics tools.

Skills

Data analysis

Data visualization

Attention to detail

AI awareness

Excel proficiency

Education

Diploma in Accounting

Audit

Data Analytics

Business Analytics

Finance

Tools

Tableau

Python

Job description

ScienTec Consulting Pte Ltd is seeking a data-focused assistant to support audit and inspection projects for six months. You will work on data extraction, validation, and research to inform proposals and initiatives.

Responsibilities include data analysis, cleansing, and enhancing dashboards that monitor technology adoption within audit firms, using Excel and other analytics tools. Strong attention to detail and basic AI understanding are preferred.