MI & Reporting Data Analyst

The MI Data & Reporting Analyst will serve as a strategic enabler within the Collections & Recoveries squad, driving the adoption of AI, data science, and advanced analytics to optimise performance and support the bank's technology transformation. The role will champion enterprise-wide data integration, process automation, and predictive modelling aligned to the technology roadmap and business strategy. The successful candidate will receive a comprehensive handover and play a pivotal role in shaping the future of Collections & Recoveries. Key Responsibilities 1. MI Reporting & Data Analytics Design, deliver, and maintain automated dashboards and recurring MI reports using data from Debt Manager (C&R Software) and enterprise databases (Teradata, Oracle, Sybase, DB2, Postgres). Produce daily/weekly/monthly reporting packs on roll rates, cures, rehabilitation, agent performance, and recoveries. Perform advanced analysis using SQL, SAS, and scripting languages to identify performance trends, variances, delinquency movements, and portfolio ageing. Conduct root-cause analysis and present actionable insights to senior stakeholders. 2. AI, Machine Learning & Predictive Modelling Design, implement, and operationalise predictive and machine learning models for Collections (e.g., segmentation, risk scoring, dialler optimisation, workflow optimisation). Leverage cloud-based data science platforms (AWS, Azure, GCP) for model development and deployment. Support the organisation's move toward data-centric transformation, automation, and digital decisioning. 3. Technology Roadmap & Transformation Alignment Support digitisation, process automation, and technology integration across key strategic platforms (Phoenix, Imagine, Debt Manager, Camunda BPM). Contribute to cloud migration initiatives, resilience enhancements, and modern data engineering practices aligned to Nedbank's technology strategy. Drive adoption of new tools, processes, and technologies within the squad. 4. Handover & Workload Continuity Participate in a structured handover process, including the transfer of MI logic, documentation, data flows, and ongoing projects. Collaborate with the outgoing specialist and broader squad to ensure seamless operational continuity. 5. Data Integration & Engineering Support Extract, transform, and load data from Debt Manager, enterprise databases, and mainframe sources (COBOL copybooks, flat files). Work with structured, semi-structured, batch, and SFTP-transferred datasets. Collaborate with Technology and Data Engineering teams to ensure data quality, consistency, and reliable pipelines. 6. Workflow, Automation & Process Modelling Interpret and model Collections workflows using Camunda BPM, including BPMN and decision models. Analyse automation rules and recommend optimisation opportunities. Support integration between Collections systems, workflow engines, and MI/reporting layers. 7. Application Support & Front-End Visualisation Partner with Angular/React teams to embed MI components into operational user interfaces. Work with REST APIs and JSON structures to support dashboarding and workflow-driven visualisation. 8. Strategic Performance Insights Deliver insights supporting segmentation, treatment strategies, dialler optimisation, payment arrangements, and recovery initiatives. Support champion/challenger testing and experimentation frameworks. Engage senior leadership with strategic recommendations to improve Collections performance. 9. Governance, Compliance & Quality Assurance Ensure compliance with NCR, POPIA, Basel, IFRS9, and internal risk frameworks. Maintain documentation of MI logic, data flows, dependencies, and processes. Assist Risk, Finance, and Audit teams with data queries and regulatory reporting. Required Technical Skills Core MI & Data Strong SQL expertise across Postgres, Teradata, Oracle, Sybase, DB2. Advantageous: COBOL copybooks, mainframe formats, batch/SFTP ingestion. Collections & Recoveries Systems Preferred: Debt Manager (C&R Software) experience. Exposure to dialler data (Avaya, Genesys), payment arrangements, DCAs, write-offs, and recovery flows. Workflow & Automation Experience with Camunda BPM, BPMN, and automation rule interpretation. Programming & Scripting Python (preferred), SAS (advantageous), and basic J