Process Miner

Process Miner – 12-Month Contract

Location: Johannesburg, Gauteng
Work Arrangement: On-site
Contract Duration: 12 months
Employment Type: Full-time contract

The Process Miner will use process-mining technologies and operational data to discover, analyse and improve end-to-end banking processes. The role will identify process bottlenecks, deviations, rework, control failures and automation opportunities and convert these findings into measurable business improvements.

The successful candidate must combine process-analysis expertise with strong data, technical and stakeholder-management capabilities.

• Define process-mining use cases aligned with business priorities.
• Extract, transform and analyse event-log data from banking and enterprise systems.
• Build and maintain process-mining data models, analyses, dashboards and views.
• Discover actual end-to-end process flows from system data.
• Compare observed processes against approved or intended process designs.
• Conduct conformance checking and process-variant analysis.
• Identify bottlenecks, rework, delays, control gaps and process deviations.
• Perform root-cause analysis to determine the drivers of poor performance.
• Identify opportunities for automation, straight-through processing and digitisation.
• Develop process-performance measures and monitor improvement outcomes.
• Translate process-mining findings into practical business recommendations.
• Facilitate workshops with business, operations, technology, data, risk and compliance stakeholders.
• Support business cases by quantifying potential cost savings, operational benefits and return on investment.
• Ensure data quality, completeness and accuracy across process-mining datasets.
• Present findings, dashboards and recommendations to senior stakeholders.
• Maintain process documentation, analysis reports and governance artefacts.
• Support continuous-improvement and business-transformation initiatives.

• At least five years of experience in process mining, process engineering, business process management, data analysis or operational improvement.
• Demonstrable hands-on experience with at least one process-mining platform:
  • Celonis
  • SAP Signavio Process Intelligence
  • UiPath Process Mining
  • Microsoft Power Automate Process Mining
  • ARIS Process Mining
• Experience building process-mining datasets, event logs, data models, analyses and dashboards.
• Strong SQL skills and experience working with large transactional datasets.
• Understanding of event-log components, including case IDs, activities and timestamps.
• Experience with process discovery, conformance checking and process enhancement.
• Ability to conduct process-variant and root-cause analysis.
• Strong process mapping and BPMN knowledge.
• Experience defining and monitoring process KPIs.
• Knowledge of Lean, Six Sigma or continuous-improvement methodologies.
• Strong analytical, problem-solving and data-visualisation capabilities.
• Excellent stakeholder-management, workshop-facilitation and presentation skills.
• Banking or financial-services experience is strongly preferred.
• Experience working within risk, compliance and governance requirements.

• PQL, Python or R.
• Power BI, Tableau or similar reporting tools.
• SAP, Oracle or other enterprise application experience.
• ETL, data integration and source-to-target mapping.
• Robotic process automation or workflow automation.
• Experience with banking processes such as:
  • Customer onboarding
  • Payments
  • Lending
  • Financial crime and compliance
  • Procure-to-Pay
  • Order-to-Cash
  • Customer servicing
  • Finance operations
• Agile delivery experience using Jira and Confluence.
• Celonis, Signavio, UiPath, BPM or Lean Six Sigma certification.

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Industrial Engineering, Business Analysis or a related field.
• Relevant process-mining, BPM, data-analysis or continuous-improvement certification would be advantageous.

• Prioritised process-mining use-case portfolio.
• Validated event logs and process datasets.
• Process models reflecting actual operational performance.
• Conformance and process-variant analyses.
• Bottleneck, deviation and root-cause assessments.
• Process-performance dashboards and KPIs.
• Quantified improvement and automation opportunities.
• Recommendations supported by data and business-value analysis.
• Benefits tracking and post-implementation performance reporting.

The ideal candidate is a data-driven process professional who can work confidently across business and…