| Purpose |
Professional in charge of Computer Assisted Audit supporting the audit function through using sophisticated ICT tools to extract, mine, analyze, and examine voluminous data especially complex accounting, financial, telecommunication, banking and tax related records for both private and public institutions. S/he is recognized as an expert in the application of statistical sampling techniques, providing data analytics of complex computerized data and recommending the most effective method to provide audit data required.
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| Key duties and responsibilities |
- Work closely with auditors and other stakeholders to understand their needs and requirements.
- Work closely with auditors to identify areas where data analytics can be used to improve the audit process.
- Collect, analyze, and interpret large volumes of data to identify patterns, anomalies, and potential areas of noncompliance.
- Present findings in a clear and concise manner, using data visualization tools to communicate complex data to auditors and other stakeholders.
- Develop predictive models to help auditors identify potential areas of noncompliance.
- Use data analytics to support the audit planning process, including identifying potential areas of risk and allocating audit resources effectively.
- Develop data monitoring and tracking systems to help auditors identify noncompliance and to ensure that taxpayers are meeting their tax obligations.
- Stay up-to-date with emerging technologies and data analysis techniques to ensure that you are using the most effective tools and methods to assist auditors.
- Carry out any other task assigned by the supervisor.
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| Required Academic Qualification |
| Preferred Qualifications |
- Bachelor’s Degree in Information Technology specialized in Information Technology
- Bachelor’s Degree in Computer Science specialized in Computer Science
- Bachelor’s Degree in Computer Engineering specialized in Computer Engineering
- Bachelor’s Degree in Applied Statistics specialized in Applied Statistics
- Bachelor’s Degree in Business Information Technology specialized in Business Information Technology
- Bachelor’s Degree in Applied Mathematics specialized in Applied Mathematics
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| Relevant Qualifications |
| Skill Type |
Required Skill |
Required Proficiency level |
| Analytical Skills |
Strong analytical skills to effectively analyze and interpret large amounts of data |
advanced |
| Analytical Skills |
Prediction with advanced techniques like machine learning models, RapidMiner, etc |
advanced |
| Analytical Skills |
Artificial Intelligence |
advanced |
| Detail oriented |
Attention to details |
advanced |
| Programming |
Data analytical tools (Python, R, SQL, NoSQL, gitlab or github, airflow) |
advanced |
| Tax Laws |
In-depth understanding of various tax laws, policy, regulations and protocols. |
advanced |
| Technical skills |
Strong understanding of software development, programming, data analytics, and database management |
advanced |
| Time management, team work and presentation skills |
Time management, team work and presentation skills |
advanced |
Required Competencies |
- Integrity
- Mentoring and coaching
- Time management
- Analytical skills
- Accountability
- Planning and organization
- RRA Business Acumen
- Confidentiality
- Technology awareness
- Detail oriented
- Critical thinking
- Resource management
- Team management
- Problem solving
- Decision making
- Professionalism
- People management
- Risk management
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| Required Experiences |
- 2 years experience in Data Analytics
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