Background

Right to Care Zambia (RTCZ) has been at the forefront of public health innovation since our incorporation in 2016, providing high-impact direct service delivery and technical assistance in partnership with the Ministry of Health. Headquartered in Lusaka, we operate across the country bringing quality healthcare closer to communities.

Guided by our 2026-2030 strategic plan, we are committed to strengthening health systems and improving lives through comprehensive HIV/AIDS prevention, care, and treatment, maternal and child health, and rapid epidemic response. Our integrated approach also includes malaria and TB control, public health research, social behaviour change, laboratory services, pharmaceutical supply chain management, and addressing non-communicable diseases. As we continue to grow, we remain dedicated to excellence, collaboration, and sustainable impact in every community we serve.

Position Details

Job Title: Data Analytics

Location: Lusaka

No. of Vacancies: 04

Contract Type: Fixed Term

Reporting To: Data Analytics Lead

Date Advertised: 10 September 2026

Contact Email: Vacancy25@rightocare.org

Overall Responsibility

The Data Analytics role will support database and systems development, including designing and developing databases, participating in testing and implementation of new applications and enhancements to existing systems, and supporting the institutionalization of analytics tools within programme data systems such as eLMIS, SmartCare Pro, QAT and PCMT.

The role will produce dashboards, analytical reports and data products that inform performance monitoring and decision-making at national, provincial and hub levels, including supply-chain performance. It will also support data cleaning, write SQL queries for donor reporting, M&E and routine decision-making, support data-quality audits and end-use verification surveys, and provide technical input on data, analysis, presentations and information requests.

The position will also work alongside government data staff to strengthen their capacity in data analytics and use, and provide capacity-building support and technical assistance on the use of analytics tools such as Power BI.

Qualifications and Experience

Minimum Required Qualifications and Experience

• Bachelor’s degree in computer science, Information Systems, Statistics, Data Science or a related field required.
• Specific training in database management an advantage.
• Minimum of three (3) years’ experience in business-intelligence tasks, database design, development and management.
• Experience developing Power BI solutions and reporting, data visualization and analysis.
• Proficiency in SQL to extract and manipulate data for reporting and decision-making.

Desirable Qualifications and Experience

• Master’s degree in computer science, Information Systems or other advanced quantitative fields.
• Experience with dataset ingestion, data-model creation, dashboards and KPIs.
• Experience with ETL processes and building data marts.
• Experience with programme data systems including eLMIS, SmartCare Pro, QAT and PCMT, among others.
• Experience supporting data-quality audits and verification surveys.

Technical and Behavioural Competencies

• Able to take ownership of deliverables and adapt to changing priorities and data requirements.
• Ability to clearly communicate data insights and findings to technical and non-technical stakeholders.
• Able to use innovative analytical approaches and technologies to solve problems and generate actionable insights.
• Ability to demonstrate awareness and sensitivity to diverse organizational and stakeholder contexts.
• Ability to plan, prioritize, and coordinate analytics activities to meet deadlines and deliverables.
• Able to uphold data ethics, confidentiality, integrity, and professional standards.
• Ability to deliver accurate, reliable, quality-assured analysis that supports evidence-based decision-making.
• Able to collaborate effectively with multidisciplinary teams and stakeholders to strengthen data use and analytics.

• Support database and systems development, including designing and developing databases.
• Participate in testing and implementation of new applications and enhancements to existing systems.
• Support the institutionalization of analytics tools within programme data systems such as eLMIS, SmartCare Pro, QAT and PCMT.
• Produce dashboards, analytical reports and data products that inform performance monitoring and decision-making at national, provincial and hub levels, including supply-chain performance.
• Support data cleaning.
• Write SQL queries for donor reporting, M&E and routine decision-making.
• Support data-quality audits and end-use verification surveys.
• Provide technical input on data, analysis, presentations and information requests.
• Work alongside government data staff to strengthen their capacity in data analytics and use.
• Provide capacity-building support and technical assistance on the use of analytics tools such as Power BI.

• Database design, development and management
• Power BI solutions development and reporting
• Data visualization and analysis
• SQL proficiency
• Dataset ingestion
• Data-model creation
• ETL processes
• Building data marts
• Data-quality audits
• Capacity building
• Technical assistance
• Ownership of deliverables
• Adaptability to changing priorities
• Clear communication of data insights
• Innovative analytical approaches
• Problem-solving
• Awareness and sensitivity to diverse contexts
• Planning and prioritization
• Coordination of analytics activities
• Upholding data ethics, confidentiality, integrity, and professional standards
• Delivering accurate, reliable, quality-assured analysis
• Collaboration with multidisciplinary teams

• Bachelor’s degree in computer science, Information Systems, Statistics, Data Science or a related field required.
• Specific training in database management an advantage.
• Minimum of three (3) years’ experience in business-intelligence tasks, database design, development and management.
• Experience developing Power BI solutions and reporting, data visualization and analysis.
• Proficiency in SQL to extract and manipulate data for reporting and decision-making.
• Master’s degree in computer science, Information Systems or other advanced quantitative fields (Desirable).
• Experience with dataset ingestion, data-model creation, dashboards and KPIs (Desirable).
• Experience with ETL processes and building data marts (Desirable).
• Experience with programme data systems including eLMIS, SmartCare Pro, QAT and PCMT, among others (Desirable).
• Experience supporting data-quality audits and verification surveys (Desirable).