Senior Manager Fraud Insights & Reporting

Job Summary

• Collaborate with business stakeholders to understand and analyse business requirements, including the underlying business context and translate business requirements into well-defined technical specifications.

• Elevate management information to provide insights by expanding the team’s focus beyond standard reporting to deliver actionable intelligence that informs high-impact decision-making.

• Set priorities and guide the work of direct and indirect reports or peers to support this shift.

• Partner with stakeholders to define reporting requirements and deliver insights and reporting to enable decision making.

• Ensure data integrity and governance by overseeing the creation and maintenance of datasets on strategic platforms, while enforcing adherence to data governance policies and promoting trusted, golden sources of information across management information teams.

• Partner with management information teams across verticals and functions to define a shared roadmap encompassing technologies, methodologies, and standards that promote consistency and scalability across the Bank.

• Foster a culture of continuous improvement, innovation, and collaboration within the function.

• Design data pipelines, build data and dashboard solutions, and support development cycles.

• Lead cross-functional management information delivery by overseeing the team responsible for the development and maintenance of reporting solutions, including dashboards, reports and datasets tailored to the needs of the business.

• Own end-to-end delivery of complex Insights & Reporting solutions (discovery, modelling, reporting, adoption).

• Collaborate with data engineers and SQL specialists to improve backend data infrastructure, identify, investigate, and resolve end-to-end data and reporting issues with minimal supervision.

• Translate business problems into analytical frameworks and scalable reporting solutions.

• Write and optimize complex SQL queries, stored procedures, and scripts for data extraction, transformation, and load (ETL).

• Support and improve ETL workflows to reliably integrate source data into data warehouse structures that feed cubes and reports

• Ensure accuracy, reliability, and on-time delivery of insights.

• Identify gaps, risks, and opportunities in existing reporting.

• Deliver insight-driven analysis with actionable recommendations.

• Develop compelling and insightful dashboards that tell a clear story from complex data to support business decisions and drive actionable insights. Lead executive-level storytelling and presentations.

• Proactively monitor KPIs and investigate emerging trends.

• Lead large or cross-functional Insights & Reporting initiatives.

• Set analytical direction, timelines, and expectations.

• Act as escalation point for complex delivery or data quality issues.

• Influence Insights and Reporting roadmap, tooling, and ways of working.

• Coach and mentor data analysts.

• Improve team capability in analytics, technical skills, and storytelling.

• Support onboarding and knowledge sharing.

• Promote a high-performance, inclusive, and accountable team culture.

• Champion data literacy and data-driven decision-making.

• Define and enforce data and records management standards (data models, metrics, dashboards).

• Maintain documentation, data dictionaries, data linage, and KPI frameworks.

• Partner with Data Engineering to improve data quality and scalability.

• Conduct validation checks and troubleshooting to ensure high data quality and system reliability.

• Adhere to data governance, security, and compliance practices relevant to the business policy.

• Ability to influence decisions through clear, evidence-based storytelling.

• Strong stakeholder engagement and communication skills.

• Ability to translate complex data into clear, business-friendly insights.

• High attention to detail and data accuracy.

• Self-driven, with the ability to manage multiple priorities and deadlines.

• Continuous improvement mindset and curiosity around data and analytics.

• Strong analytical and problem-solving skills.

• Self-starter with a collaborative mindset.

• 5+ years’ experience in BI or data analytics

• Bachelor’s degree in Data Science, Engineering, Computer Science, or similar

• Proven end-to-end BI delivery experience

• Strong stakeholder engagement skills

• Experience mentoring or leading initiatives

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

• SQL (advanced querying and optimisation)

• Power BI (DAX, M, dashboard UX design)

• Dimensional data modelling & semantic layers

• Data & Records Management governance and documentation

• Strategic thinking and ownership

• Clear communication and influence

• Emotional intelligence and leadership

• Continuous improvement mindset

• Consistent, reliable delivery