Executive, Data Analytics

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Job Description:

Requirements:

• Design and develop analytics scripts based on agreed-upon functional requirements for identified client issues or review scope. Provide guidance to auditors on the types of data analytics and procedures to apply on projects.
• Conduct quantitative and qualitative data analysis, using ACL or other analytics tools / programming languages, on a broad array of issues across disciplines, projects and functional areas within Group Integrity, Governance & Assurance (GIGA).
• Translate data analytics conclusions into early warning signals, and along the way, identify and recommend opportunities for cost recovery, cost avoidance, process and control improvements.
• Develop automation to facilitate continuous monitoring of controls effectiveness (CCM), based on analysis of tables and data fields, as and when necessary.
• Build and maintain data warehouse to enable data interrogation or new analytics exploration to be undertaken by non-technical auditors in a safe environment.
• Build and maintain data visualisation and control dashboards to be able to explain the analytics results of control / business issues to non-technical GCA Management in a compelling manner.
• Draft Continuous Control Monitoring (CCM) and other data analytics engagement reports on a periodic basis for Senior Management to drive attention and actions.
• Develop and maintain an awareness of significant developments within data analytics universe and keep abreast on the emerging and advances in analytics practices.
• Undertake ad-hoc data analytics projects as part of investigations, special reviews or advisory engagements, as and when necessary.
• Assist in the development of Standards, Best Practices and Guidelines for data analytics in auditing, continuous monitoring and all data analytics programmed solutions.
• Ensure maintenance and retention of all analytics scripts and robust documentation of related processes, procedures and analysis work.
• Actively participate in the resolution of ACL software issues, such as licensing, application maintenance, bug/errors, and deployment of new versions.
• Explore the usage of new analytics tools in line with the advancement of analytics and digital technology.
• Develop, operate and maintain a good and solid data analytics ecosystem in the Department.

Responsibilities:

• Relevant tertiary education (minimum bachelor's degree), primarily in Computer Science / Computer Engineering, Software Engineering, Data Science, Statistics, Mathematics or equivalent.
• Professional certification or technical qualification (e.g. Certified Data Scientist, CISA, CIA, CFE, Microsoft Certified Technology Specialist) is a plus.
• Minimum 1-2 years of experience within Data Analytics domain in a large / complex ERP environment and databases (e.g. SAP, SQL, etc.).
• At least 1 year of experience using ACL at an intermediate level, including script development, or other analytics tools / programming languages such as Python, SQL, R, IDEA or Excel.
• Experience with Business Intelligence / Data Warehouse development using SQL, and data visualisation tools (e.g. Tableau and PowerBI) is an added advantage.
• Exceptional business acumen, analytical and critical thinking skills with proven ability to challenge the status quo and seek innovation.
• Articulate in verbal and written communication skills, along with strong organisation skills to manage multiple tasks simultaneously.

To apply, please submit your resume and cover letter outlining your interest for this role.