Key Responsibilities:
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Understand and analyze software and business requirements to support audit objectives.
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Utilize data analytics tools such as SAS, IDEA, SPSS, etc. in audit procedures.
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Develop Python scripts for data exploration, analysis, and cleansing.
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Build AI and machine learning models using Python, SAS, or similar technologies.
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Perform ETL (Extract, Transform, Load) processes to prepare audit-relevant datasets.
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Monitor data quality and ensure data integrity throughout the audit cycle.
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Design and build interactive dashboards using Tableau and Power BI to support findings.
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Apply technological solutions to meet audit and business needs efficiently.
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Develop creative, innovative approaches to solving audit challenges.
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Identify and assess risks through data analysis and provide actionable insights.
Qualifications and Skills:
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0 to1 years of experience in data analytics within a Big Four audit firm or the banking sector.
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Bachelor's degree in information systems, Computer Science, Engineering, Business Informatics, or related IT field.
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Preferably certified in CISA, COBIT, ISO, CISSP, or other relevant ISACA certifications.
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Strong analytical thinking and problem-solving skills.
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Excellent communication and interpersonal skills.
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Fluency in English and Arabic (both written and spoken).
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Ability to work independently and collaboratively in a team environment.
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Eagerness to learn and adapt to new technologies and evolving audit practices.