Public Health Data Analyst - Addis Ababa, Ethiopia (6-month Consultancy)

Resolve to Save Lives (RTSL) is a global health organization that partners locally and globally to create and scale solutions to the world’s deadliest health threats. Millions of people die from preventable health threats. We collaborate to close the gap between proven, life-saving solutions and the people who need them. Since 2017, we’ve worked with governments and other partners in more than 60 countries to save millions of lives. We work toward a future where people live longer, healthier lives, communities flourish, and economies thrive. This is an ambitious vision, and it inspires us and our partners to make progress every day. 

Position Summary 

The Public Health Data Analyst will work in close collaboration with Addis Ababa City Health Bureau (AACHB) and other stakeholders such as the Ethiopia Public Health Institute (EPHI) and the Ministry of Health (MOH), alongside surveillance officers, epidemiologists, and data managers. The analyst will apply data analysis and programming skills to support the routine production of timely, accurate, and actionable insights that support public health emergency management and evidence-based decision-making. 

Duration and Location 

The Public Health Data Analyst is a 6-month Independent Consultant position based in Addis Ababa, Ethiopia.  

Contract Deliverables 

Deliverable 1. Automated public health data management and quality assurance tool (by end of Month 2) 

Develop a modular system of R scripts or a standalone program that can be routinely used to perform the following tasks: 

• Ingest and clean large public health datasets from various sources and formats (e.g., Excel, CSV, DHIS2). 

• Standardize variable names, date formats, and coding schemes. 

• Conduct routine data quality checks, including assessments of missingness, outliers, duplicates, and validation against predefined reference rules. 

• Generate automated audit reports that summarize key data quality indicators, including completeness, timeliness, and accuracy. 

Deliverable 2. Automated routine and ad-hoc public health data analysis, reporting, and visualization tool (by end of Month 3) 

Build on Deliverable 1 by developing a complementary set of R scripts or modules that automate the following: 

• Analyze complex, large-scale public health datasets to identify trends, patterns, and actionable insights that support emergency preparedness and response. 

• Generate routine and ad-hoc analytic outputs, including summary tables, visualizations (e.g., charts, maps), and dashboards. 

• Produce stakeholder-facing information products (e.g., dashboards, reports, or presentations) that clearly communicate key findings. 

Deliverable 3. Documentation of workflows and standard operating procedures (by end of Month 6) 

Produce clear, accessible documentation and resources that enable sustainability and ease of use of Deliverables 1 and 2: 

• Detailed documentation of data sources, processing steps, analytic methods, and outputs for both tools. 

• A user-friendly Standard Operating Procedure (SOP) designed for key users with limited or no R programming experience, including step-by-step usage instructions. 

• A well-organized, version-controlled repository of all scripts, input/output examples, and documentation to ensure reproducibility. 

Deliverable 4: On the job capacity building and facilitation of trainings  

Closely support government counterparts to upskil