Data Analyst Activity Manager at Medecins Sans Frontieres

Responsibilities

• Defining, coordinating and monitoring all data related activities including data collection, analysis, reporting, monitoring and evaluation processes according to MSF protocols, standards and procedures in order to ensure quality medical care for patients and their communities and to improve the health condition of the population.

Accountabilitiies

• With the support of the Desk Epidemiologist, creating, reviewing, and adapting data collection tools according to the project indicators, and coordinating the development, implementation and follow up of Standard Operating Procedures (SOPs) for documentation.
• Developing and implementing data quality assurance methods to ensure good performance of the activities and reliability of the information, treating with respect and confidentiality all patient information.
• Providing technical support to the medical team and data entry staff in the implementation of routine data recording, collection, and entry for the selected project indicators in clinics and/or hospitals and/or health centers.
• Organizing and implementing or providing technical support in the establishment of monitoring tools for new activities as initiated in the project.
• On a monthly, quarterly or basis of request, implementing detail analysis of recorder data for key indicators for the project to facilitate the definition, redefinition, or reorientation of project activity.
• This will also include analysis of the district’s (MoH) cohort data, whenever available.
• Following the analysis, identifying, and reporting any new and interesting indicators for review with the medical team for potential follow up where relevant.
• Managing and supervising the work of the data team personnel for quality assurance including identification of training needs and providing coaching for the staff on issues related to data.
• Planning and supervising, with support of the HR department, the associated HR processes (recruitment, training/induction, evaluation, potential detection, motivation, development, and internal communication) the data team in order to ensure having the appropriate team in terms of size, capabilities and skills.
• Participating in meetings and/or trainings as requested scheduled by manager or MSF. This includes but is not limited to MSF internal meetings and/or trainings, and local, regional, or international meetings and/or trainings
• On a monthly basis and in collaboration with the medical team, preparing and submitting summary reports on analysed data for both MoH and MSF and preparing and implementing MSF internal monthly or quarterly medical data presentation, including facilitation of team reflection and sharing of updates to promote team dynamism and reactivity
• Performing additional activities whenever needed and as requested by the supervisor.

MSF Section / Context Specific Accountabilities

• Ensuring effective data management for routine monitoring of nutrition inpatient and outpatient programmes, including data collection, validation, analysis, reporting, and feedback loops.
• Supporting surveillance activities and data management during outbreak responses and contributing to MSF emergency preparedness (E-PREP) activities as required.
• Supervising and providing technical leadership to the data team, including Data Supervisors, Data Officers, and Data Encoders, ensuring clear roles, performance follow-up, and continuous capacity building.
• Support with regular data analysis for routine monitoring, with epidemiological support as needed.
• Support the development, implementation, and maintenance of effective and timely monitoring structures of key programme indicators.
• Delivering trainings and ongoing support on data management, data protection, and the use of data management tools to data staff and medical teams.
• Managing both aggregated and individual-level data using DHIS2 and other data collection platforms (e.g. Kobo), ensuring data accuracy, completeness, confidentiality, and compliance with MSF data protection standards.
• Supporting the set-up, adaptation, and maintenance of data collection tools, including digital tools and associated hardware, in collaboration with relevant technical support teams.
• Contributing to the analysis of contextual and epidemiological data related to the project environment, requiring strong familiarity with the region of implementation and operational context.
• Ensuring continuous improvement of data quality through regular reviews, feedback, coaching, and follow-up, and promoting a culture of data use within the project.
• The role requires demonstrated experience working with DHIS2, strong proficiency in Excel, solid IT skills, experience in nutrition programmes is desirable.