GIZ recruits: Advisor·Technical era in health data management and analysis

JOB VACANCY NOTICE – GIZ

Counsellor

• Technical era in health data management and analysis POST

Specialization: Quantitative Studies and Analysis (EAQ) Element Detail Organization GIZ (German Cooperation)

Location

Savanes regions, Kara Central (Kara, Sokodé or Dapaong) Date of establishment September 2026 Take-up of service 1 March 2027 Contract type Project Contract (Full Time) Band of pay Band 4

Job overview

Responsibilities

The project recruits three people responsible for strengthening the quality, availability, analysis and use of health data in the regions of Central and Eastern Europe. KaraCentral and Savanes. The three posts have a common set of responsibilities in monitoring and evaluation and health data management. To this base is added, for each position, a specialization: Remote Management, Monitoring and Verification (GSVD);

Education / Qualifications

Geographic Information Systems (GIS); Quantitative Studies and Analysis (EAQ). This offer is for the EAQ position only.

Other information

Each recruit will be assigned to Kara, Sokodé or Dapaong and will support regional structures and health districts in its region. In his/her application, the candidate is invited to indicate his/her preferred region as well as his/her openness to an assignment in other regions. Job purpose The incumbent of the position contributes to strengthening the quality, availability, analysis and use of health data in project areas. He/She assists regional structures and health districts in improving their monitoring, evaluation and data management systems. The position requires specific expertise in quantitative studies and analysis (QAE). As such, the incumbent contributes to the design and conduct of quantitative studies, as well as to the processing, analysis and interpretation of health data. It produces results to inform the monitoring of interventions and evidence-based decision making. Responsibilities and main tasks General Tasks (Common Base)

• 1. Monitoring, evaluation and harmonization of approaches Contribute to the M&E system of the project, ensure the collection, consolidation, validation, analysis and monitoring of data; Contribute to the harmonization of methods, tools, indicators and procedures; Collaborate with data managers in the other two regions to ensure consistent approaches.
• 2. Data quality and digital tools Contribute to data quality assurance (completeness, consistency, accuracy, traceability); Support the organization of monthly data quality reviews; Contribute to the deployment of digital tools (eDQR, DHIS2 dashboards, gamification); Analyze the results of reviews and accompany improvement plans.
• 3. Support to structures and capacity-building Support the regional structures of the Ministry of Health (MSHP) in strengthening their M&E systems; Provide technical support to targeted health districts; Prepare and lead trainings and workshops on data management and analysis.
• 4. Documentation, learning and capitalization Contribute to the work of the GIZ Data & M&E Hub in Togo; Document results, progress and good practices.
• 5. Planning and implementation of activities Plan, coordinate and monitor project activities related to M&E and data quality

Main duties

Provide technical, financial and operational follow-up, and organize expertise missions and training. Specific Tasks for Quantitative Studies and Analysis (EAQ)

• 6. Methodological design of studies Provide conceptual and methodological expertise in the design of quantitative studies; Contribute to the development of protocols, sampling plans, questionnaires and analysis plans.
• 7. Quantitative analysis and methodological advice Carry out advanced quantitative and statistical analyses and interpret the results; Advise the project team on the choice of quantitative and statistical methods.
• 8. Documentation and communication of results Document methods and analyses, write study reports and present results to facilitate decision making.

Candidate profile

The brief profile is not intended to be exhaustive. The incumbent of the position declares that he/she is willing to undertake, in reasonable proportions, activities which do not fall within the scope of the duties arising from the description of the function. Required Qualifications and Skills Education and academic qualifications Master's level university degree (Bac+5) in public health, monitoring and evaluation, statistics, data science, information systems, geomatics or comparable field.

Experience

• 3 years of experience in M&E, data management and analysis or information systems, preferably in the health sector or development cooperation; Experience in collecting, analyzing and using data for monitoring and decision support; Experience in technical support of institutional partners; Strength: Experience collaborating with the deconcentrated structures of the Togolese health system. 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 and quality assurance (QA) approaches; Proficiency in Microsoft Excel; knowledge of DHIS2, Power BI, KoboToolbox (asset); Ability to design and conduct training; Excellent analytical, synthesis and writing skills. Personal and language skills Autonomy, methodological rigor, initiative and ability to manage several activities simultaneously; Excellent communication and collaboration skills; Excellent command of French (oral and written); good knowledge of English (asset); Availability for travel in the three regions of intervention. Specific Qualifications in Quantitative Studies and Analysis (EAQ) University training specializing in statistics, data science, epidemiology, quantitative economics or demography;
• 3 years of experience in methodological design and conducting quantitative studies;
• 3 years of experience in performing advanced statistical analysis and data visualization; Very good knowledge of sampling methods, questionnaire design and analysis plans; Advanced mastery of at least one statistical analysis software (R, Stata, SPSS, Python or equivalent); Good knowledge of descriptive and inferential statistical methods Ability to translate programmatic issues into rigorous analytical approaches. About GIZ and Diversity GIZ is a signatory to the Diversity Charter. The recognition, appreciation and integration of diversity in the company is important to us. All collaborators
• Trice
• S must be appreciated
• e
• s regardless of sex or gender identity, nationality, ethnic or social origin, religion or belief, disability or age. GIZ wants to increase the proportion of employees
• e
• s disabled
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• s, both in Germany and abroad. Applications from people with disabilities are welcome. Note: Only shortlisted candidates will be

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