About the position
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 Java for API/backend logic understanding.
Front-End & BI Visualisation
- Exposure to Angular/React environments.
- Proficiency with BI tools such as Power BI, Tableau, or QlikView.
General Technology
- ETL processes, data modelling, and pipeline optimisation.
- REST/JSON API consumption.
Business & Analytical Skills
- Deep understanding of the Collections & Recoveries lifecycle.
- Knowledge of key metrics (roll/cure rates, vintage analysis, NPL movement, ageing).
- Ability to translate complex analytics into clear insights for business stakeholders.
- Strong critical thinking, problem-solving, prioritisation, and communication skills.
Qualifications & Experience
Qualifications
- Degree in Data Analytics, Information Systems, Computer Science, Statistics, or similar.
Experience
- 4–7+ years’ experience in MI, reporting, or data analysis within banking.
- Direct experience in Collections & Recoveries is required.
- Experience with enterprise databases and Debt Manager preferred.
- Exposure to Camunda and modern UI frameworks (Angular/React) is beneficial.
Key Performance Indicators (KPIs)
- Accuracy, reliability, and timeliness of MI outputs.
- Delivery and adoption of automated dashboards and reporting enhancements.
- Improvements achieved through workflow automation insights.
- Successful deployment of ML/AI models (where applicable).
- Stakeholder satisfaction and measurable improvement in Collections outcomes.
Desired Skills:
