The GIZ

COUNSELLOR

• ÈRE TECHNIQUE IN HEALTH DATA MANAGEMENT AND ANALYSIS – SPECIALIZATION IN QUANTITATIVE STUDIES AND ANALYSIS (EAQ)

Assignment: Kara, Sokodé or Dapaong (Togo) Start date: March 1, 2027 Type of contract: Project contract Pay Band: Band 4

Organizational Unit (UO) Date of establishment September 2026

Job overview

Background and general objectives of the position The project recruits three people to strengthen the quality, availability, analysis and use of health data in the regions of Africa. Kara, the Central and Savanes.

Responsibilities

The three posts include a common set of responsibilities in monitoring and evaluation (M&E) and health data management. To this base is added, for each position, a specialization: Remote Management, Monitoring and Verification (GSVD); Geographic Information Systems (GIS); Quantitative Studies and Analysis (EAQ).

Other information

This offer relates only to the position specializing in Quantitative Studies and Analysis (QAE). The other two specialisations are offered separately. Each recruit will be assigned to Kara, Sokodé or Dapaong and will support regional structures and health districts in its region in improving their monitoring-evaluation and data management systems, in close collaboration with the project’s monitoring-evaluation team. In his application, the person is invited to indicate his region of preference among Kara, Sokodé and Dapaong, as well as its openness to an assignment in other regions. 2.1. Purpose of the post The

• the incumbent contributes to strengthening the quality, availability, analysis and use of health data in project regions. He
• It supports regional structures and health districts in improving their monitoring, evaluation and data management systems, in close collaboration with the project’s M&E team. The position requires specific expertise in quantitative studies and analysis (QAE). As such, the
• the licensee shall contribute to the design and conduct of quantitative studies, as well as to the processing, analysis and interpretation of health data. He
• It produces results and analyses to inform the monitoring of interventions, their management and evidence-based decision making. He
• It also contributes to the overall M&E framework of the project, the Data & M&E Hub of the GIZ portfolio in Togo and capacity building for institutional partners. His work aims to improve the quality, analysis and use of data.

Location

2.2. Place of duty and geographical coverage The

• the holder is affected
• e à Kara, Sokodé or Dapaong and supports the regional structures and health districts of his region of assignment. He
• She also brings her expertise in quantitative studies and analyses to other regions of intervention, according to the needs of the project. The connection of this specialization to a region will be determined at the end of the recruitment process. The responsibilities of the position include joint monitoring and evaluation and health data management tasks, as well as specialized tasks related to quantitative studies and analyses. Responsibilities and main tasks As part of his duties, the
• In particular, the owner is responsible
• e the following responsibilities: General tasks 3.1. Monitoring, evaluation and harmonization of approaches Contribute to the M&E system of the project as well as that of the interventions implemented in Togo within the framework of regional and global GIZ projects. To this end, ensure the collection, consolidation, validation, analysis and monitoring of data related to activities and indicators in close collaboration with the M&E team. Contribute to the harmonization of methods, tools, indicators, procedures and reporting mechanisms. Work closely with data managers in the other two regions to ensure consistent approaches, tool alignment, data quality and consolidation of results across the project. 3.2. Data quality and digital tools Contribute to the quality assurance of data, in particular by checking its completeness, consistency, accuracy, reliability and traceability. Support the organization and strengthening of monthly data quality reviews at regional and health district levels. Contribute to the deployment, use and monitoring of digital data quality improvement tools, including Electronic Data Quality Review – eDQR), DHIS2 dashboards and gamification tools to encourage regular data entry. Contribute to the design and implementation of mechanisms for positive feedback and recognition of good practices in data quality, including the results of reviews and digital tools. Analyze the results of data quality reviews and eDQRs, identify deficiencies and their causes, and support the development, implementation and monitoring of improvement plans. 3.3. Support to structures and capacity-building Support the regional structures of the Ministry of Health (MSHP), in the region of assignment, in strengthening their M&E systems, especially for the monitoring of fever clinics and the extension of sentinel surveillance sites. Provide technical support to targeted health districts in order to improve the quality, analysis and use of data, including by supporting focal points, organizing monthly monitoring meetings and analyzing performance. Contribute to building the capacity of ministerial partners and regional and district actors, including by preparing and facilitating trainings, workshops and technical support sessions on the collection, management, quality control, analysis and use of health data, in order to promote a culture of data-driven decision making. 3.4. Documentation, learning and capitalization

Experience

Contribute to the work of the Data & M&E Hub of the GIZ portfolio in Togo, notably by sharing expertise, harmonising approaches, collective learning and capitalizing experiences. Document results, progress, difficulties and good practices, and produce analyses and syntheses useful for project management and decision-making. 3.5. Planning and implementation of activities Plan, coordinate and implement project activities in the areas of M&E, health data quality management and improvement, as well as in the specific area of expertise of the position, in close collaboration with the project team and relevant partners. Ensure the technical, financial and operational follow-up of these activities, ensuring their quality, compliance with deadlines and budgets as well as the achievement of expected results.

Main duties

Organize and support expertise missions, workshops, trainings and other technical activities, ensuring the coordination of stakeholders and the mobilization of necessary resources. Specific tasks for quantitative studies and analyses 3.6. Methodological design of studies Provide conceptual and methodological expertise to design and conduct quantitative studies that meet the needs of the project. Contribute to the development of study protocols, sampling plans, questionnaires, analysis plans and the choice of statistical methods. 3.7. Quantitative analysis and methodological advice Carry out advanced quantitative and statistical analyses, and interpret the results according to the objectives of the studies and the needs of the project. Advise the project team on the choice and application of quantitative and statistical methods adapted to study questions and available data. 3.8. Documentation and communication of results

• Document the methods and analyses carried out, and contribute to the drafting of study reports as well as to the presentation and communication of results, in order to facilitate their use for the management of interventions and decision-making.

Candidate profile

Required Qualifications and Skills 4.1. Education and academic qualifications

• Master's level university degree (Bac+5) in public health, monitoring and evaluation, statistics, data science, information systems, geomatics or a comparable field, relevant to the position. 4.2. Professional experience
• 3 years of professional experience in M&E, data management and analysis or information systems, preferably in the health sector or as part of development cooperation projects. Experience in the collection, consolidation, analysis and use of data for monitoring activities, measuring results and decision support. Experience in providing technical support to institutional partners, particularly in strengthening monitoring and evaluation systems, improving data quality or capacity development. Experience working with decentralized structures in the Togolese health system is an asset. 4.3. General technical and methodological skills Good knowledge of methods and tools for data collection, management, quality control, analysis and visualization. Good knowledge of M&E systems, indicator management and data quality assurance approaches, including data quality reviews – DQR). Good knowledge of office tools, including Microsoft Excel; knowledge of DHIS2, Power BI, KoboToolbox or other data management and analysis tools is an asset. Ability to design and lead trainings, workshops and technical support sessions with teams and partners. Ability to plan, organize and monitor technical activities, including their operational implementation and monitoring of mobilized resources. Excellent analysis, synthesis, documentation and writing of technical reports. 4.4. Personal and language skills Ability to work autonomously, structured and results-oriented while collaborating effectively within a multidisciplinary team. Excellent communication and collaboration capacities with institutional partners at the national, regional and district levels. Sense of organization, methodological rigor, initiative and ability to manage several activities simultaneously. Ability to work in an intercultural environment and share knowledge and experience with other team members. Excellent command of French, both orally and in writing; a good knowledge of English is an asset. Availability to carry out business trips in the three regions of intervention of the project. 4.5. Specific Qualifications and Skills in Quantitative Studies and Analysis A university education specializing in statistics, data science, epidemiology, quantitative economics, demography or a comparable field.
• 3 years of experience in methodological design, coordination or conducting quantitative studies, particularly in the context of development or public health projects.
• 3 years of experience in performing advanced statistical analysis, data visualization and interpretation of results. Very good knowledge of sampling methods, questionnaire design, database management and statistical analysis plans. Advanced mastery of at least one software or statistical analysis language, including R, Stata, SPSS, Python or a comparable tool. Good knowledge of descriptive and inferential statistical methods and their application to quantitative data analysis. Ability to translate programmatic issues into rigorous analytical approaches and present results in a clear, accessible and decision-oriented manner. Special conditions and general provisions The brief profile is not intended to be exhaustive. The
• the incumbent of the position declares himself disposed
• e to undertake, in reasonable proportions, activities that do not fall within the scope of the duties arising from the description of the function. As part of your role, you are responsible for the technical, organizational and substantive implementation of a project’s measures and activities. In consultation with your superior
• You also take care of tasks related to the planning, management and monitoring of the project, but also, to a certain extent, its administration. You are also charged
• e technical support from colleagues in Bands 2 and 3 and responsible for the quality of market results. You contribute in parallel to the design of the program, especially in case of modification or reorientation. You make technical and substantive contributions on cross-cutting themes in cooperation with clients/sponsors, partners and other actors. You thus contribute to the achievement of the agreed objectives for the project concerned and give impetus to the further development of the strategy. In consultation with the office management and your superior
• You also use your

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