MI & Reporting Data Analyst

SUMMARY:
We are seeking a MI & Reporting Analyst to join our team based in Sandton, Onsite.

POSITION INFO:

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