Job opportunity : Auditor - Data Modeling and Analytic
Job opportunity : Auditor Data Modeling and Analytic chez MTN Cameroon Mobile Telecommunication Networks à doualaregionl
Auditor - Data Modeling and Analytics.Internal Audit And Forensics Douala, Littoral, Cameroon (On-site) Trending Want to know more about us? We’ve got you! Please scroll to the end of the section to get to know us better.
Job Description The Auditor: Data Modelling and Analytics role will be accountable to achieve the following objectives:
Responsibilities 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.
Qualifications 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<b
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