Specialist: Data Insights & Intelligence MI/BI

Job Summary

The successful candidate will be expected to:

• Deliver high-quality analytics that influence business decisions.
• Improve reporting efficiency through automation.
• Increase confidence in management information through improved data quality.
• Develop scalable analytical solutions that reduce manual effort.
• Build strong relationships with business stakeholders.
• Contribute to a high-performing analytics team through mentoring and technical leadership.

• Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering or a related quantitative discipline.
• Honours degree or postgraduate qualification advantageous.
• Minimum 7 years’ experience in Data Analytics, Business Intelligence or Management Information.
• Experience within Banking or Financial Services highly advantageous.

• Cloud analytics platforms
• Machine Learning
• AI-assisted analytics
• API integration
• Git version control
• Azure or AWS analytics services

• Strong analytical and problem-solving ability
• Excellent communication and presentation skills
• Commercial awareness
• Critical thinking
• Attention to detail
• Ability to manage multiple priorities
• Stakeholder management
• Continuous improvement mindset
• Leadership and coaching capability

 Key Responsibilities

• Analyse large and complex datasets to identify trends, opportunities and business risks.

• Develop predictive and diagnostic analytics to support strategic decision-making.

• Translate business requirements into analytical solutions and measurable outcomes.

• Present findings to senior stakeholders through clear visualisations and executive-level reporting.

• Design, develop and maintain automated dashboards and management reports.
• Improve existing reporting processes by reducing manual intervention and increasing accuracy.
• Ensure reporting delivers timely, consistent and actionable insights.
• Build reusable reporting frameworks and standardised metrics.

• Extract, transform and analyse data from multiple enterprise systems.
• Validate data quality and investigate anomalies.
• Develop robust data models to support business reporting.
• Document analytical processes and maintain appropriate governance.

• Partner with Product, Finance, Risk, Marketing, Operations and Technology teams.
• Gather business requirements and translate them into analytical solutions.
• Explain technical findings in business language.
• Influence business decisions through evidence-based recommendations.

• Identify opportunities to improve operational efficiency using data.
• Apply statistical techniques to measure business performance.
• Support process optimisation initiatives using analytical evidence.
• Recommend improvements based on measurable business outcomes.

• Mentor junior analysts and provide technical guidance.
• Review analytical work to ensure quality and consistency.
• Promote best practices in coding, documentation and data governance.
• Drive innovation through automation and modern analytics techniques.

Education

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised