Transform raw data into meaningful insights, dashboards, and reports that support decision-making, performance management, and strategic planning.

Job Details

• Work with stakeholders to understand business questions and translate them into analytical requirements.
• Develop and maintain interactive dashboards, reports, and visualizations (e.g., Power BI) for operations, finance, quality, and management.
• Perform data analysis, trend evaluation, and root-cause investigations.
• Validate data against source systems and collaborate with Data Engineers to resolve data quality issues.
• Create and maintain standardized KPIs, metric definitions, and reporting templates.
• Produce periodic performance reports (daily/weekly/monthly) and ad-hoc analyses.
• Provide clear, actionable commentary on insights, trends, risks, and opportunities.
• Train and support business users on self-service BI and interpretation of metrics.
• Document dashboards, data sources, definitions, and business rules.
• Contribute to analytics roadmap and identify opportunities for advanced analytics/ML use cases.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
• 2–4+ years’ experience in data analysis, BI, or reporting.

About Company

C-Care - Uganda

• Work with stakeholders to understand business questions and translate them into analytical requirements.
• Develop and maintain interactive dashboards, reports, and visualizations (e.g., Power BI) for operations, finance, quality, and management.
• Perform data analysis, trend evaluation, and root-cause investigations.
• Validate data against source systems and collaborate with Data Engineers to resolve data quality issues.
• Create and maintain standardized KPIs, metric definitions, and reporting templates.
• Produce periodic performance reports (daily/weekly/monthly) and ad-hoc analyses.
• Provide clear, actionable commentary on insights, trends, risks, and opportunities.
• Train and support business users on self-service BI and interpretation of metrics.
• Document dashboards, data sources, definitions, and business rules.
• Contribute to analytics roadmap and identify opportunities for advanced analytics/ML use cases.

• Power BI
• Data Analysis
• BI Reporting
• Data Visualization
• Trend Evaluation
• Root-cause Analysis
• KPI Definition
• Metric Definition
• Self-service BI
• Advanced Analytics
• Machine Learning (ML)

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.