Job Description<\/p>\n
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.
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Responsibilities<\/p>\n
Tangible and measurable outputs\u00a0of the work assignment\u00a0<\/p>\n
i.\u00a0Data Management and Cleaning Report (by 25th\u00a0Sept 2025):\u00a0Collection, Compilation and cleaning of primary and secondary data collected through participatory mapping exercises, surveys, and stakeholder interviews to ensure accuracy and consistency.
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\nii.\u00a0\u00a0\u00a0\u00a0Preliminary 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.
\niii.\u00a0\u00a0\u00a0Final Analytical Report and Dashboard (by 30th September 2025):\u00a0Comprehensive 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.
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\n\u00a0 \u00a0 \u00a0 \u00a02. \u00a0 \u00a0 Performance indicators for the evaluation of results
\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Timely delivery of quality-assured datasets, reports, and visual outputs in accordance with project deadlines.
\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Accuracy, clarity, and usefulness of data analysis and visualizations (maps, dashboards, graphs).
\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Demonstrated ability to integrate geospatial data and mobility patterns for public health decision-making.
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\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Effective support during validation workshops and integration of feedback into final outputs.
\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Positive assessment of the consultant\u2019s deliverables by the Program Coordination Unit and technical stakeholders.<\/p>\n
Qualifications<\/p>\n
Education, Experience and\/or skills required
\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bachelor\u2019s or Master\u2019s degree in Data Science, Statistics, Public Health Informatics, Computer Science, or related discipline.
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\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Minimum of 3\u20135 years of experience in data analysis, preferably within the context of public health, humanitarian, or mobility-related projects.
\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Proficiency in statistical and data visualization tools such as R, Python, Power BI or Tableau.
\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Experience with GIS software for geospatial data analysis.
\n\u2013\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Strong skills in data cleaning, interpretation, and presentation for both technical and non-technical audiences.<\/p>\n
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