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 Lead

Location: Lusaka

No. of Vacancies: 01

Contract Type: Fixed Term

Reporting To: GIS & Data Manager

Date Advertised: 10 September 2026

Overall Responsibility

The Data Analytics Lead will develop and promote use of a data-analytics platform using business-intelligence software, such as Power BI, to enhance analytics and improve data visibility across programme areas.

The role will manage the creation and dissemination of reports and performance dashboards drawing on data systems used within RTCZ, including SmartCare Pro, DHIS2, eLMIS and WMS, oversee the integration and use of programme data systems, develop efficient procedures for data management and analysis, and develop solutions for moderate-to-complex data-optimization opportunities, including supply-chain and logistics analytics.

The position will also provide leadership in data quality, governance and security; produce analytics supporting milestone verification and evidence packages for the Department of State; supervise the Data Analytics team; and progressively build MOH counterpart capacity in data analytics and interpretation.

Qualifications and Experience

Minimum Required Qualifications and Experience

Bachelor’s degree in data science, Computer Science, Statistics, Applied Mathematics, Information Systems or any quantitative discipline required.

Formal training in database management and/or business intelligence.

Minimum of five (5) years’ work experience in business-intelligence development, data management and analytics.

Highly proficient in SQL Server technologies, Python, Power BI or equivalent tools to manipulate, query, model and present data.

Demonstrated experience leading analytics and/or data deliverables and supervising analysts.

Experience with donor-funded programmes required.

Desirable Qualifications and Experience

Master’s degree or its international equivalent in a quantitative or data-related field.

Experience designing dashboards, virtual maps and interactive reporting tools.

Experience with data warehousing, ETL and data-model creation.

Experience with programme data systems including eLMIS, SmartCare Pro, QAT and WMS, among others.

Experience building capacity of government counterparts in analytics and data use.

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.

• Develop and promote use of a data-analytics platform using business-intelligence software, such as Power BI, to enhance analytics and improve data visibility across programme areas.
• Manage the creation and dissemination of reports and performance dashboards drawing on data systems used within RTCZ, including SmartCare Pro, DHIS2, eLMIS and WMS.
• Oversee the integration and use of programme data systems.
• Develop efficient procedures for data management and analysis.
• Develop solutions for moderate-to-complex data-optimization opportunities, including supply-chain and logistics analytics.
• Provide leadership in data quality, governance and security.
• Produce analytics supporting milestone verification and evidence packages for the Department of State.
• Supervise the Data Analytics team.
• Progressively build MOH counterpart capacity in data analytics and interpretation.

• SQL Server technologies
• Python
• Power BI or equivalent tools
• Data manipulation, querying, modeling, and presentation
• Leadership in analytics and data deliverables
• Supervising analysts
• Data quality, governance, and security
• Communication of data insights to technical and non-technical stakeholders
• Innovative analytical approaches and technologies
• Awareness and sensitivity to diverse organizational and stakeholder contexts
• Planning, prioritizing, and coordinating analytics activities
• Upholding data ethics, confidentiality, integrity, and professional standards
• Delivering accurate, reliable, quality-assured analysis
• Collaboration with multidisciplinary teams and stakeholders

• Bachelor’s degree in data science, Computer Science, Statistics, Applied Mathematics, Information Systems or any quantitative discipline.
• Formal training in database management and/or business intelligence.
• Minimum of five (5) years’ work experience in business-intelligence development, data management and analytics.
• Highly proficient in SQL Server technologies, Python, Power BI or equivalent tools.
• Demonstrated experience leading analytics and/or data deliverables and supervising analysts.
• Experience with donor-funded programmes.
• Master’s degree or its international equivalent in a quantitative or data-related field (Desirable).
• Experience designing dashboards, virtual maps and interactive reporting tools (Desirable).
• Experience with data warehousing, ETL and data-model creation (Desirable).
• Experience with programme data systems including eLMIS, SmartCare Pro, QAT and WMS, among others (Desirable).
• Experience building capacity of government counterparts in analytics and data use (Desirable).