Lead Data Analytics Auditor

This role required candidate to permanently relocate at Dhahran, Saudi Arabia.

About the Company


This company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments: Upstream, Downstream, and Corporate. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers. The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, 1933 and is headquartered in Dhahran, Saudi Arabia.

Job Summary

We are seeking a Lead Data Analytics Auditor to join the Digital Audits and Solution Group of Internal Auditing at This Company. The Digital Audits and Solution Group is responsible for augmenting Internal Auditing capabilities with high-quality data analytics and ad hoc data analytics based on audits objectives using tools like ACL and Alteryx. The Lead Data Analytics Auditor's primary role is to create and sustain an effective system of data analytics and models which provides an enhanced insight into risks and controls. The successful candidate will establish efficient/automated means to analyze and test large volumes of data for outliers, irregularities, patterns, trends and evaluate the appropriateness and effectiveness of controls. Assist in compiling and analyzing statistical data for audit planning, Audit fieldwork & Reporting. Perform sustainable analytical tests of controls by obtaining and analyzing audit evidence, preparing audit workpapers, evaluating test results, and drawing conclusions on the adequacy and effectiveness of controls. Identify, design, and develop data analytics procedures to support audit activities performed by the Internal Audit team. Use data analysis tools to automate audit testing and develop advanced analytics techniques for risk assessment, audit automation and analyzing large volumes of data. Work in assigned audit/project teams and report to management to identify appropriate data sources, data elements required for analytics. Applying professional judgement to identify assess & implement data extraction from multiple business sources and ensuring accuracy of implemented reports. Interact collaborate and contribute with Internal Audit team members in working towards accomplishing departmental goals.

Responsibilities:

• Identify key business processes for identifying and assessing current and emerging risks.
• Design, execute, document and report on audit testing.
• Assist in the development of machine learning modelling and evaluation.
• Perform data gathering and data cleaning.
• You must mentor new employees joining the Data Analysis team.
• Perform statistical hypothesis and analysis of structured data and unstructured data to gain insights and detect anomalies.
• Perform testing, deployment and maintenance of predictive models.
• Develop predictive analytics utilizing data mining, statistics, modelling, machine learning and artificial intelligence techniques to analyses current data to make future predictions.
• Assess effectiveness, performance and accuracy of data models.

Requirements:

• 7+ years of experience in relevant areas of Data Analytics, Audit Reporting & Advanced data analytics. You shall apply your extensive experience in understanding complex SAP business processes & identification of underlying table structures.
• Willing to permanently relocate at Dhahran, Saudi Arabia.
• Exhibit acumen to understand, identify & implement new tools and technologies as required by advancement roadmap of Internal audit systems & technologies.
• Hold at least one professional certification such as CIA, CISA, CAP, ACDA or any relevant certification related to data analytics/data science.
• Demonstrate excellent oral and written communications in the English language, and excellent presentation and interpersonal skills.
• Bachelor's degree or higher in Computer science, Computer Engineering, Artificial Intelligence, Analytics and Data science, Mathematics and Statistics, Management Information Systems, Business Management, Accounting or a relevant field.