May 2022 - May 2024

Information Management/ Business Analyst Manager - Collection Africa Limited

Business Analysis and Strategic Insights: Spearhead the development of comprehensive business models and data- driven insights to forecast patterns and trends, providing invaluable guidance for decision-making within the organization. Data Visualization and Reporting: Create and meticulously maintain interactive data visualization dashboards, effectively communicating key performance indicators (KPIs) to both senior management and cross- functional teams, facilitating data-driven decision-making. Content Strategy and Client Value: Lead cross-functional teams in identifying strategic content opportunities that drive enhanced client value and contribute to business growth. Data Governance and Analytics: Ensure the implementation of appropriate data tools and dashboards across the company.

Nov 2020 - Apr 2022

Junior Research Assistant - Data Analyst - International Potato Centre

Work with sweet potato breeders to ensure all germplasm at KEPHIS have sufficient minimum passport descriptors and these are uploaded on the germplasm information system. Provide technical backstopping support to germplasm information management system users at KEPHIS, Muguga. Support the annual updating of the digital sweet potato catalogue. Support existing tools used for breeding data capture, and all germplasm labeling. Support capacity-building efforts among project collaborators and partners in data collection, documentation, and management. Contribute to development of data collection forms for digital monitoring and evaluation systems Analyzing which data is important to the task at hand and which is irrelevant. Segregation, classification and analysis of data.

Jun 2024 - Feb 2025

Data Analyst for Retail Sales Operation - Bowip Agencies Ltd

1. Collect and analyze retail sales data from various sources, including point-of-sale systems, customer databases, and online platforms. 2. Clean and preprocess data to ensure accuracy and consistency. 3. Develop and implement data models, algorithms, and statistical techniques to identify patterns and trends in sales data. 4. Generate regular reports, dashboards, and visualizations to present sales performance metrics and key insights to stakeholders. 5. Conduct in-depth analysis of sales data to identify opportunities for revenue growth, cost reduction, and operational efficiency. 6. Collaborate with cross-functional teams to develop strategies and action plans based on data-driven insights. 7. Monitor sales performance against targets and provide recommendations for improvements.

Feb 2025 - May 2025

Project Assistant - Bridge Talent Management

Support the planning and execution of end-to-end HR consultancy projects for multiple client organizations across industries, delivering services in recruitment, payroll management, salary surveys, and performance tracking. Analyze client data across financial performance, employee attendance, and individual productivity to provide actionable insights that guide strategic HR and operational decisions. Develop dynamic dashboards, automated reports, and data visualizations using Excel, Power BI, and statistical tools such as SPSS and STATA to support real-time decision-making and performance monitoring. Conduct employee performance analysis, generate evaluation reports, and support client HR teams in implementing performance improvement plans and workforce development strategies. Utilize HR

Jun 2025 - Date

Reporting & Analytics Administrator - Datacair

1. Collected, consolidated, and validated operational and financial data from systems like QMS, CargoWise, Cargospot, iCargo, and SkyChain. 2. Extracted and verified AWB data, monitored chargeable weights, and ensured accurate shipment reporting. 3. Developed automated dashboards and scheduled reports using Excel, Power BI, and SQL. 4. Reconciled Power BI data with treasury reports to align cash and cargo balances. 5. Tracked KPIs including cargo volumes, airline prefixes, station performance, and data completeness. 6. Supported finance, customs, and operations teams with tailored reporting and reconciliation. 7. Identified data capture gaps and proposed improvements for reporting accuracy. 8. Ensured data privacy and confidentiality while managing sensitive logistics information.