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Data Business Analyst with 2+ years in data analysis, Power BI, and business requirements.
Data and Business Analyst with hands-on experience spanning financial data analysis, Power BI dashboard development, and business requirements gathering within a municipal finance environment. Skilled in SQL, Power BI, Excel, and Python, with a track record of cleaning, analysing, and visualizing large datasets to surface trends, monitor KPIs, and support management decision-making. Equally experienced across the business analysis lifecycle, including stakeholder engagement, Business Requirements Documents (BRDs), and User Acceptance Testing (UAT), translating operational needs into practical system and reporting solutions. Currently part of the Revenue Stream division within Group Finance (Property Branch) at the City of Johannesburg, providing data analytics and business intelligence support to Finance, Valuation, and Transaction Processing teams, delivering insights that improve operational performance and support revenue growth. Looking to bring this combined data and business analysis skill set to a results-driven analytics, finance, or business systems team.
Sol Plaatje University
Advanced Diploma · Information and Communications Technology
August 1, 2024 – Present
Sol Plaatje University
Diploma · Information and Communications Technology
August 1, 2023 – June 30, 2023
City of Johannesburg – Group Finance (Property Branch), Revenue Stream Division
Data and Business Analyst Intern
March 1, 2025 – Present
India
Sol Plaatje University – Division of Student Affairs
Registration Assistant
January 1, 2024 – April 1, 2024
India
Sol Plaatje University – Centre for Teaching, Learning and Programme Development
Tutor - Applications Development Foundation
February 1, 2023 – November 1, 2023
India
Business Requirements Support & Application Testing
June 21, 2026 – Present
Engaged with business users and clients to gather and document requirements for system enhancements and reporting solutions. Conducted system testing and validation to confirm applications met business and operational requirements. Identified process gaps and recommended improvements to system functionality and user experience.
Journal Processing Efficiency Dashboard
June 21, 2026 – Present
Designed and built an interactive Power BI dashboard to calculate and analyse average journal processing turnaround times. Created KPI visuals and trend analysis reports to support efficiency monitoring and management reporting. Identified workflow bottlenecks and processing delays through detailed data analysis. Used SQL and Excel to extract, transform, and visualise underlying datasets.
Transaction Processing Dashboard
June 21, 2026 – Present
Built dashboards to monitor transaction processing performance and departmental KPIs. Used SQL, Excel, and Power BI to transform, analyse, and visualise operational data. Identified data inconsistencies and supported reporting accuracy improvements.
Cultural Fit Analysis
The candidate's project diversity is somewhat limited, primarily focusing on data analysis and dashboarding within a finance context. While the target role is 'Forward Deployed Data Engineer', the current experience leans more towards a Data Analyst/Business Analyst profile. The breadth of technical skills is good for analysis (SQL, Power BI, Excel, Python fundamentals) but lacks depth in core data engineering tools and practices (e.g., cloud platforms, ETL orchestration, distributed systems, data modeling for large-scale systems). The tutoring experience shows a willingness to learn and teach, which can be a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through identifying workflow bottlenecks and data inconsistencies. Their experience in stakeholder engagement and requirements gathering indicates good communication and collaboration abilities. The internship at City of Johannesburg shows an ability to work within a structured, municipal finance environment, which suggests a degree of operational fit.