Job Description

The Data Analytics Graduate Programme within Standard Bank Connect is a structured development initiative designed to equip high-potential graduates with hands-on experience in identifying, analysing and preventing revenue leakage within the organisation. Anchored in the Revenue Assurance team, the programme provides exposure to the critical financial and operational processes that underpin accurate billing, strong data integrity, and sustainable financial performance.

Through immersive engagement with billing systems, advanced data analysis tools, and cross-functional business processes, graduates develop a comprehensive understanding of how revenue flows across the business. The programme places a strong emphasis on the design and application of effective controls to safeguard revenue while ensuring alignment with internal governance standards and regulatory requirements.

The primary objective of the programme is to build future-ready capabilities in revenue assurance. Graduates participate in real operational scenarios that include data reconciliation, anomaly detection, financial validation, and process optimisation. This practical experience cultivates strong analytical capability, attention to detail, and commercial acumen.

Graduates work closely with the Standard Bank Connect Revenue Assurance team to support the integrity of customer usage, charging, billing, and reporting processes. This collaboration reinforces operational transparency, accuracy, and alignment to broader organisational objectives.

Overall, the programme is designed to accelerate the transition from academic learning to professional impact, positioning graduates to contribute meaningfully to financial governance, operational excellence, and long-term business sustainability within Standard Bank Connect.

Key responsibilities:
Data Engineering and Warehouse Development:
Design and build scalable data warehouse solutions by integrating data from multiple internal and external sources.
Develop and maintain data pipelines within the SQL Server environment to ensure reliable and efficient data flow.
Automate data ingestion and processing using stored procedures, ETL frameworks, Control M and other automation tools.
Optimise data structures by implementing pre-aggregation and summarisation techniques to enhance reporting performance.
Perform rigorous data cleansing, validation, and quality assurance to ensure accuracy, completeness, and integrity of datasets.
Support ongoing data warehouse operations, ensuring stability, performance, and continuous improvement of data processes.

Data Extraction and Business Insights:
Automate recurring data requests to improve efficiency and ensure timely delivery of insights to business stakeholders.
Integrate and enrich MVNO data with the Standard Bank Group Enterprise Information Warehouse within the Teradata environment.
Extract and prepare data for month-end reporting cycles, ensuring consistency and alignment with business requirements.
Translate complex datasets into actionable insights that inform strategic decision-making and business performance.
Consolidate data from multiple sources to develop a comprehensive 360-degree view of customer portfolios.
Partner with cross-functional stakeholders to understand data needs and deliver high-value analytical outputs.

Data Security and Integrity:
Log and track system issues, incidents, and data-related queries in a structured and timely manner to ensure visibility and resolution.
Proactively identify opportunities to enhance data quality, integrity, and data protection practices across systems and processes.
Take ownership of issues by demonstrating accountability, conducting root cause analysis and implementing effective, and sustainable solutions.
Support the enforcement of access controls to ensure that data is only available to authorised users in line with governance and compliance requirements.
Maintain strict confidentiality and exercise sound judgement when handling sensitive and regulated information.

Data Validation and Analytics:
Ensure the completeness, accuracy, and consistency of data across systems through structured validation processes.
Perform detailed data validation to confirm alignment with functional specifications, business rules, and governance standards.
Proactively generate trend analyses and data-driven insights to support decision-making and identify emerging risks or opportunities.
Respond to stakeholder requests with high quality analytical outputs that are both accurate and actionable.

Reporting and dashboard development:
Develop structured, governance-aligned reports and transition these into efficient and scalable business intelligence tools.
Design and build insightful reports and interactive dashboards using tools such as Power BI and Microsoft Excel.
Support the migration of functional area management information systems towards an optimised, integrated reporting environment.
Produce and maintain performance scorecards aligned to functional objectives and key business metrics.
Prepare clear and impactful presentations using Microsoft PowerPoint to communicate insights to stakeholders.

Qualifications
Completed Undergraduate within 2 years or Postgraduate qualification (recently completed or completing in 2026):

• Information Management
• Statistics
• Mathematics
• BSc Computer Science
• Data Science
• Accounting
• Finance
• Economics
• Informatics

Minimum Requirements:
Must be a South African citizen.
Should you have work experience, it should not exceed 12 months.
Full academic transcripts to be submitted with application for undergraduate and postgraduate studies.

Programme duration: 12 months

Application closing date: 30 June 2026