Auditor - Data Modeling and Analytics.Internal Audit And Forensics

The Auditor: Data Modelling and Analytics role will be accountable to achieve the following objectives:
-    Execute Technology audit plans to identify risks and vulnerabilities on the control areas and to ensure that processes and systems comply with company policies, and statutory and regulatory policies.
-    Serve as an active member of the audit team directly executing internal high risk/priority internal audits on technology, systems, and security controls: through analysing reports and logs, conducting system and process audits, conducting interviews and testing, preparing database updates, providing status reports, and preparing audit reports, in line with internal standards and methodologies.
-    Conduct the effectiveness test of the control areas, such as information security, technology updates, upgrade and development lifecycle, disaster recovery reviews, pre and/or post implementation review, technology project management, technology project governance, technology controls risk management, technology acquisition, blueprint and implementation reviews, technology systems and infrastructures process and control reviews. 
-    Conduct regular and automated tests on technology systems and controls using analytical scripts and datasets, ensuring that any changes to the system, such as updated, upgrades, system changes are monitored are done according to the company’s policies and procedures and statutory and regulatory policies.
-    Provide high quality, data driven recommendations supported by analytical evidence, visualizations, and trend insights to management on technology systems and security controls risk identification and mitigation and corporate governance, to ensure that internal audit processes are robust, aligned to best practices and regulatory requirements.
-    Provide input in the audit plan and programme, to ensure effectiveness of the risk management through internal audit, on area of specialization.
-    Carry out audits on the eGRC system in line with process and methodology as mandated by the Group Internal Audit and Forensics function.
-    Follow up on the implementation of audit recommendations in a timely manner.
-    Assist with the development of methods, processes, and systems to enhance effectiveness and meet organisational goals.
-    Provide proficiency in assessing information security and cybersecurity controls, identifying vulnerabilities, and ensuring compliance with information security standards.
-    Leverage data analytics, automation, and AI enabled techniques to enhance risk assessment, improve test coverage, and support continuous assurance initiatives.
 

Key Job Responsibilities

Staff Leadership and Management

• Ability to work in a team.

• Responsible for self-learning and development with guidance from the Manager

• Ensure cohesive working with the Coe.

• Accountable for meeting and prioritising own targets / deadlines

• Provide information to the Manager on work accomplishments, individual / team challenges. 

• Lead team meetings and contribute on specialist / technical areas when required.

• Review performance metric dashboards prepared on various performance metrics and, provide input to the manager

Governance

Ad hoc and Operational Meeting

• Participate and provide inputs in operational meetings as and when required.

• Set up and manage ad hoc meetings for day-to-day operational requirements as and when required.

Escalations

• Timely notification of escalations to the Manager

• Resolve escalations as per defined escalation / resolution procedures.

Opco Operational

• Participate and provide inputs in project status meetings.

• Propose operational changes and provide associated user impact assessment.

Performance

Improve productivity and quality through leading practice initiatives

Reporting

Provide inputs to the Manager (as required) relating to progress made within the sub-division and in accordance with the measurement metrics set by the organisation.

Data Modelling & Analytics Responsibilities

• Design, build, and maintain data models, scripts, and analytical routines that support risk assessment, control testing, and continuous auditing.

• Conduct data extraction, transformation, and validation to ensure quality and completeness of datasets used in audit work.

• Develop risk analytics dashboards and automated indicators that highlight anomalies, trends, and potential control breaches.

• Apply statistical, predictive, or machine‑learning techniques to identify unusual patterns or fraud red flags.

• Embed analytics into audit methodology, ensuring every audit incorporates meaningful data‑driven testing.

• Partner with IT, BI, Risk, and Cybersecurity teams to ensure secure access to data sources and proper alignment with data governance standards.

• Train audit staff on analytics tools and promote self‑service audit analytics adoption.

• Maintain a repository of standard analytical test scripts to support repeatable audit processes.

• Automate manual testing procedures to increase audit efficiency and audit execution.

Role Dependencies

• MTN Policies and Procedures

• Active support from the Manager Technology Audits

• Understanding of the respective OpCo technology and business contexts and the risks associated with these.

• Inter-functional collaborations with Risk and Compliance 

• Alignment with OpCo risk management initiatives

• Skilled and experienced Suppliers/Specialists to support and safeguard functions

• Access to clean, structured, and timely data from all relevant systems.

• Collaboration with IT data owners, Business Intelligence teams, cybersecurity analysts, and data governance teams.

• Availability of analytics tools (Power BI, Python environments, SQL access, etc.).

• Support from management in fostering a data‑driven audit culture.

Education:

• Bachelor in Engineering (B.Eng.) / BSc. Computer Science

• Preferred - 4 Years Bachelor of Commerce/Bachelor of Science Preferred

• Fluent in English with basic command of French

Experience:

• Minimum 3 years’ experience in data analytics, Technology audit, cybersecurity, system administration, or risk management

• Experience in supervising others is an advantage. 

• Experience working in a medium organization

• Experience in implementing data analytics in internal audit or compliance environments.

• Experience building dashboards, models, and automated routines to support audit coverage.

• Experience analyzing large transactional datasets, logs, and technology telemetry.

Industry/Certifications:

• Professional qualification in Information Systems Auditing or other audit certifications is advantageous (CISA, CRISC, CISM, CIA, CISSP, or CMA)

• Knowledge and experience in development and programming of queries / scripts using various data analytics software and visualization tool (e.g. SQL, Python, Power Bi, etc.) is an advantage.

Competencies:

Functional Knowledge: 

• Internal Audit Mission, Definition and Core principles

• IT and Network enterprise architecture

• Cybersecurity Testing and Auditing

• Advanced knowledge of data modelling, ETL processes, and data architecture.

• Understanding of machine learning concepts, anomaly detection, and predictive analytics in an audit context.

• Knowledge of continuous auditing and continuous monitoring frameworks.

• Familiarity with data governance, data privacy, and quality assurance principles.