Under the overall supervision of the Programme Coordinator in Dar es Salaam and the direct supervision of the Migration Health Physician in Dar es Salaam, the successful candidate will perform below responsibilities in IOM Tanzania.

1. Tangible and measurable outputs of the work assignment 

i. Data Management and Cleaning Report (by 25^th Sept 2025): Collection, Compilation and cleaning of primary and secondary data collected through participatory mapping exercises, surveys, and stakeholder interviews to ensure accuracy and consistency.

ii.    Preliminary Analytical Report with Visualizations (by 15th Sept 2025): Includes descriptive analysis of population movement trends and mobility patterns, supported by visualizations such as charts, maps, and heatmaps developed using GIS tools.

iii.   Final Analytical Report and Dashboard (by 30th September 2025): Comprehensive analysis report incorporating feedback from validation meeting(s), complete with an interactive data dashboard and policy-relevant recommendations for enhancing Mpox disease surveillance in high-risk border areas.

       2.     Performance indicators for the evaluation of results

–             Timely delivery of quality-assured datasets, reports, and visual outputs in accordance with project deadlines.

–             Accuracy, clarity, and usefulness of data analysis and visualizations (maps, dashboards, graphs).

–             Demonstrated ability to integrate geospatial data and mobility patterns for public health decision-making.

–             Effective support during validation workshops and integration of feedback into final outputs.

–             Positive assessment of the consultant’s deliverables by the Program Coordination Unit and technical stakeholders.

Education, Experience and/or skills required

–             Bachelor’s or Master’s degree in Data Science, Statistics, Public Health Informatics, Computer Science, or related discipline.

–             Minimum of 3–5 years of experience in data analysis, preferably within the context of public health, humanitarian, or mobility-related projects.

–             Proficiency in statistical and data visualization tools such as R, Python, Power BI or Tableau.

–             Experience with GIS software for geospatial data analysis.

–             Strong skills in data cleaning, interpretation, and presentation for both technical and non-technical audiences.