Process Miner

Africonology; Johannesburg; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Africonology is seeking a Process Miner for a 12-month contract in Johannesburg. The role focuses on using process-mining technologies and operational data to discover, analyse and improve end-to-end banking processes.

You will identify bottlenecks, deviations and automation opportunities, translating findings into measurable business improvements. The ideal candidate combines process-analysis expertise with strong data, technical and stakeholder-management capabilities, and can facilitate

Qualifications

• Five+ years in process mining, process engineering or BPM.
• Experience building process-mining datasets, event logs and dashboards.
• Strong SQL skills and data-visualisation capabilities.

Responsibilities

• 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.
• Develop process-performance measures and monitor improvement outcomes.
• Present findings, dashboards and recommendations to senior stakeholders.

Skills

Process mining

Data analysis

Stakeholder management

Workshop facilitation

Education

Bachelor's degree

Tools

Celonis

SAP Signavio Process Intelligence

UiPath Process Mining

Power Automate Process Mining

ARIS Process Mining

Job description

Process Miner – 12-Month Contract

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

Job Purpose

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.

Key Responsibilities

• 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.

Required Skills and Experience

• 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.

Advantageous Skills

• 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.

Qualifications

• 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.

Key Deliverables

• 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.

Ideal Candidate

The ideal candidate is a data-driven process professional who can work confidently across business and technical teams. They can interrogate complex system data, uncover how banking processes operate in practice and convert those insights into sustainable improvements, stronger controls and measurable business value.