Specialist: Internal Audit Data Analytics

MoMo from MTN; Johannesburg; On-site; ZAR 800,000 - 1,100,000; Full time

Job summary

MTN is seeking a Specialist: Internal Audit Data Analytics to strengthen its Fintech and OpCo analytics capabilities in Johannesburg. The role focuses on enabling the internal audit function through analytics, automation and scalable testing frameworks.

You will translate audit objectives into practical analytics scripts and build dashboards for ongoing monitoring of key risk indicators. Collaboration with cross‑functional teams and external partners is essential.

Qualifications

• Bachelor’s degree in computer science, statistics, applied mathematics, data science or related field.
• 2–5 years of experience in data analytics.
• Strong technical skills in data mining and analytics tools such as SQL, Microsoft Fabric, Python and R.

Responsibilities

• Support the Internal Audit analytics roadmap by identifying practical analytics use cases across Group Fintech and OpCos.
• Develop scalable Internal Audit analytics and continuous auditing approaches.
• Standardise audit analytics scripts, dashboards, testing routines and reporting templates across markets.
• Document reusable analytics approaches and best practices for knowledge sharing.
• Use automation and data-led techniques to improve audit coverage, efficiency and risk detection.
• Monitor emerging data analytics, AI, ML and visualisation trends relevant to Internal Audit.

Skills

SQL

Microsoft Fabric

Python

R

Advanced Excel analytics

Power Query

Power Pivot

Education

Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Data Science or related field

Tools

Oracle

MS SQL

AWS

Azure

GCP

Job description

Fintech is entering a new phase where operational and commercial excellence has become critical for success. We at MTN believe this is a game changer in terms of our business strategy. We are looking at an incumbent to join us as we build a successful business together.

As part of your portfolio as a Specialist: Internal Audit Data Analytics you will:

• Support the Internal Audit digital and analytics roadmap by identifying practical audit analytics use cases across Group Fintech and OpCos.
• Provide input into the development of a scalable Internal Audit analytics and continuous auditing approach.
• Support the standardisation of audit analytics scripts, dashboards, testing routines and reporting templates across markets.
• Contribute to the Internal Audit knowledge-sharing community by documenting reusable analytics approaches, lessons learned and leading practices.
• Support the use of automation and data-led techniques to improve audit coverage, efficiency, insight quality and early risk detection.
• Keep informed of emerging data analytics, audit automation, AI, machine learning and visualisation trends relevant to Internal Audit.
• Translate audit objectives, control requirements and audit risks into practical analytics scripts, queries and testing routines.
• Support Internal Audit assurance activities by analysing data to test control design, operating effectiveness and process compliance.
• Extract, transform, validate and analyse data to support audit engagements across financial, operational, technology, compliance, fraud and customer transaction areas.
• Design and automate recurring audit tests for high-risk processes, systems, transactions and controls.
• Build dashboards and exception reports to support ongoing monitoring of key risk indicators and control exceptions.
• Track recurring control exceptions and support root-cause analysis with audit and business stakeholders.
• Support the development of continuous auditing routines across priority risk areas, including payments, reconciliations, user access, privileged activity, system configuration and transaction monitoring.
• Perform analytics on system access, privileged-user activity, segregation of duties, configuration changes and user activity logs.
• Support Technology Audit by analysing data from fintech platforms, ERP systems, databases, APIs, cloud platforms and other relevant technology environments.
• Validate completeness, accuracy, integrity and reliability of data used for audit testing.
• Maintain data dictionaries, source-to-report mapping, audit analytics documentation and reusable testing logic.
• Ensure data handling complies with privacy, confidentiality, information security and regulatory requirements.

The incumbent must have the following:

• Bachelor’s degree in computer science, Statistics, Applied Mathematics, Data Science or a related field.
• Proven experience 2-5 years in data analytics
• Strong technical skills in data mining and analytics tools such as SQL, Microsoft Fabric, Python and R.
• Knowledge of database systems (e.g., Oracle, MS SQL) and cloud data platforms (e.g., AWS, Azure, or GCP).
• Experience in financial services, Fintech, telecommunications or related fields is an advantage.
• Advanced Excel analytics, Power Query and Power Pivot.
• Demonstrated ability to collaborate effectively with cross-functional teams and external partners to achieve business objectives.

Closing date: 21 September 2026. Late applications will not be accepted.