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Musa Mzeshi

Musa Mzeshi

Business Analysis Professional | Advanced Diploma in Business Analysis Candidate | Claims Assessor | Data Analysis & Process Improvement | Business Systems | Data Management | Exce

Talent
MidrandMember since September 18, 2026
Business AnalysisProcess ImprovementBusiness SystemsData AnalysisData ValidationData ManagementClaims AssessmentReporting & DocumentationMicrosoft ExcelAgile Concepts
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Business AnalysisProcess ImprovementBusiness SystemsData AnalysisData Validation

About

Analytical and results-driven business and IT professional with practical experience spanning claims assessment, data management, business systems, data validation, process administration and reporting within financial services and healthcare environments. Currently working as a Claims Assessor at Metal Industries Benefit Fund Administrators, having progressed from a Death Claims Logging Clerk role into a more analytical claims assessment position in July 2026. Holds a Higher Certificate in Information Technology and has completed a Diploma in Management Studies in July 2026.

Currently pursuing an Advanced Diploma in Business Analysis, with expected completion in May 2027. This combination of IT, management, business analysis studies and practical workplace experience provides a strong foundation for contributing to business requirements, process improvement, data-driven decision-making, systems analysis and operational efficiency. Experienced in working with business systems including Applinx, Oculus, TIER.net and EVDS, with strong capability in data verification, information validation, record management, reporting, documentation and process adherence.

Proficient in Microsoft Office and Excel, with developing knowledge of Agile concepts, business processes, data analysis and dashboard-based reporting.

Experience

Claims Assessor - Metal Industries Benefit Fund Administrators

(2026-07)

Progressed into a Claims Assessor position after gaining experience as a Death Claims Logging Clerk, demonstrating career development and increased responsibility within the organisation.

  • Assess and process claims in accordance with established organisational procedures, policies and business requirements.
  • Review member and claim information to establish completeness, accuracy and validity before processing.
  • Verify information across relevant systems and supporting documentation to identify discrepancies, missing information and potential processing issues.
  • Utilise enterprise systems including Applinx and Oculus to access, verify, update and manage member and claims information.
  • Work with structured data and system-based workflows to support efficient claims processing.
  • Perform data validation activities to ensure information integrity and consistency.
  • Maintain accurate records in accordance with internal processes and information management requirements.
  • Follow established claims processes while identifying opportunities for improved accuracy and efficiency.
  • Support the effective flow of claims information between different stages of the business process.
  • Maintain awareness of process dependencies and the impact of inaccurate information on operational outcomes.
  • Analyse claim and member information to identify discrepancies, incomplete records and processing requirements.
  • Apply logical and analytical thinking when reviewing information and determining appropriate next steps.
  • Investigate issues within available information before escalating matters requiring further intervention.
  • Use system information and supporting documentation to make informed processing decisions.
  • Develop practical exposure to business rules, operational controls and process-driven decision-making.
  • Communicate with internal stakeholders regarding claims information and processing requirements.
  • Work collaboratively with colleagues to resolve queries and ensure effective workflow management.
  • Maintain professional communication when handling information relating to members and claims.
  • Support cross-functional activities where information needs to be verified or clarified.

Death Claims Logging Clerk - Metal Industries Benefit Fund Administrators

(2022-06 - 2026-07)

  • Logged death claims and member information accurately into relevant business systems.
  • Captured and verified information to support efficient and accurate claims processing.
  • Conducted detailed data validation and refresh activities to maintain accurate member records.
  • Reviewed information for completeness, consistency and accuracy before progressing claims through the relevant workflow.
  • Maintained organised records and supported effective information retrieval.
  • Assisted with administrative activities within the claims environment.
  • Worked extensively with Applinx and Oculus in a structured business environment.
  • Developed practical understanding of enterprise systems and technology-enabled business processes.
  • Followed defined workflows and process requirements when capturing and validating information.
  • Supported internal process flows and documentation within the claims environment.
  • Developed an understanding of how accurate data contributes to efficient business operations and service delivery.
  • Assisted with reporting and administrative requirements within the claims function.
  • Supported preparation, organisation and maintenance of information required for operational reporting.
  • Maintained accurate documentation and member records.
  • Applied strong attention to detail when working with large volumes of information.
  • Worked with internal departments to clarify information and support efficient processing.
  • Assisted team members with administrative and data-related requirements.
  • Developed strong cross-functional communication skills.
  • Identified data-related issues and escalated matters requiring additional attention.
  • Adapted to changing processes, systems and operational requirements.

Data Capturer - Anova Health Institute

(2021-05 - 2022-05)

  • Captured patient information accurately from paper-based and electronic sources.
  • Managed high volumes of health-related data while maintaining accuracy and completeness.
  • Captured and updated information using TIER.net and EVDS.
  • Conducted data checks to identify incomplete, inconsistent or inaccurate information.
  • Performed data validation and quality checks to improve the reliability of information.
  • Reviewed captured information against source documentation.
  • Identified data discrepancies and supported corrective actions.
  • Applied strong attention to detail when working with sensitive and high-volume records.
  • Used Microsoft Excel to filter, organise, clean and analyse data.
  • Assisted with compiling reports for operational and performance monitoring purposes.
  • Organised information into usable formats for reporting and analysis.
  • Developed practical experience working with structured datasets and data-driven reporting.
  • Supported COVID-19 vaccination data management activities.
  • Assisted with the maintenance and updating of vaccination-related records.
  • Worked with electronic health information and reporting systems.
  • Supported data accuracy requirements within a fast-paced public health environment.

Education

Advanced Diploma - Business Analysis - MANCOSA (2026-05 - 2027-05)

Diploma - Management Studies - MANCOSA (2026-07)

Higher Certificate - Information Technology - MANCOSA (2024 - 2025)

N5 - Quantity Surveying - Central Johannesburg College (2015 - 2019)

Skills

Business Analysis ProfessionalAdvanced Diploma in Business Analysis CandidateClaims AssessorData Analysis & Process ImprovementBusiness SystemsData ManagementExce

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