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MI & Reporting Data Analyst

1 day ago738 views
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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description

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 data
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