Job was saved successfully.
Job was removed from Saved Jobs.

Job Details


Jobs.mom Saudi Arabia

IT Auditor

Business and Financial Operations

Accountant/Auditor

Yearly

No

Dhahran, Egypt

Aramco energizes the world economy. Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. Position descriptionWe are seeking a Lead Data Analytics Auditor to join the Digital Audits and Solution Group of Internal Auditing at Saudi Aramco. 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. Minimum requirementsAs a successful candidate, you will hold a 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. You will have a minimum of seven 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. You will have experience in data extraction, storage, transformation, and processing through data analytics routines, and generate output for visualization/analysis as directed by the Internal Audit management. You shall exhibit acumen to understand, identify & implement new tools and technologies as required by advancement roadmap of Internal audit systems & technologies. You are expected to have extensive coding experience on any of the market leading analytics tools such as ACL(Galvanize), SAPBW, Tableau, Power BI, Python etc. You should hold at least one professional certification such as CIA, CISA, CAP, ACDA or any relevant certification related to data analytics/data science. You must demonstrate excellent oral and written communications in the English language, and excellent presentation and interpersonal skills. Duties and responsibilities You will be required to perform the following: Perform data gathering and data cleaning. Perform statistical hypothesis and analysis of structured data and unstructured data to gain insights and detect anomalies. Assist in the development of machine learning modelling and evaluation. Develop predictive analytics utilizing data mining, statistics, modelling, machine learning and artificial. intelligence techniques to analyses current data to make future predictions. In coordination with subject matter experts, perform diagnostic and descriptive analysis to obtain performance process insights. Assess effectiveness, performance and accuracy of data models. Perform testing, deployment and maintenance of predictive models. Design, execute, document and report on audit testing. Identify key business processes for identifying and assessing current and emerging risks. You must mentor new employees joining the Data Analysis team. Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.