Job ResponsibilityResponsibilities:
Analyse audit analysis requirements and translate into audit automation design using applicable technologies e.g. data analytics, RPA, AI
Develop, test, implement, operate and maintain data analytics and/or automation solutions using suitable tools or systems with satisfactory quality
Liaise with stakeholders to obtain continuous data from primary or secondary data sources and maintain a suitable database platform for IA's automation purposes
Design and develop data reporting tools and processes for continuous assurance results, which include data visualization using related data visualization tools
Follow-up with the business in ensuring that all identified internal control findings from continuous assurance results are remediated with appropriate actions
Develop, test and implement advanced audit automation use cases and/or audit process re-engineering trial projects using related current technologies/methodologies and roll-out the feasible project outcomes to the whole team
Implement and carry out adequate data governance activities to ensure confidentiality, integrity and availability of stored and processed data by the continuous assurance platform
Provide technical support to the team and/or business counterparts in the areas of technical audit data analysis, automation and related tools/technologies as well as coaching the team on usage of those tools/technologies
Working closely and build relationship with Stakeholders for ensuring effective continuous assurance service deliverables from Internal Assurance Division
Providing consultative advice to Stakeholders by identifying and recommending value-added data analytics insights and approach
Requirement:
Bachelor Degree in IT/ Engineering / Computer Science
Data Science / Data Analytics Certifications will be an added advantage
Total relevant experience in development of data analysis and/or database related systems not less than 4 years, preferably within internal or external audit environment
Technical expertise regarding data models, database design development, data mining and ETL techniques
Strong knowledge of and experience with databases (e.g. Microsoft SQL), programming languages (C#, .NET), SQL scripting, ETL platforms (e.g. MS SSIS), data reporting and visualization tools (e.g. Qlik, Tableau, Power BI)
Knowledge of statistics and experience using statistical packages for analyzing datasets (e.g. R, Python, Excel, ACL, IDEA, etc.)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Experience in auditing multiple business areas
Knowledge in ERP and business systems e.g. SAP, Oracle ERP, Data warehouse solutions etc.
Job RequirementsJob Benifits
