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Data Analyst Activity Manager at Medecins Sans Frontieres

Medecins Sans FrontieresKebbi, Nigeria Data and Artificial Intelligence
Contract
Médecins Sans Frontières (MSF) is an international, independent, medical humanitarian organisation that delivers emergency aid to people affected by armed conflict, epidemics, natural disasters and exclusion from healthcare. MSF offers assistance to people based on need, irrespective of race, religion, gender or political affiliation. Our actions are guided by medical ethics and the principles of neutrality and impartiality. A worldwide movement MSF was founded in Paris, France in 1971. Its principles are described in the organisation's founding charter. It is a non-profit, self-governed organisation. Today, MSF is a worldwide movement of 24 associations, bound together as MSF International, based in Switzerland. Thousands of health professionals, logistical and administrative staff - most of whom are hired locally - work on programmes in some 70 countries worldwide. Humanitarian action MSF's work is based on humanitarian principles. We are committed to bringing quality medical care to people caught in crisis, regardless of race, religion or political affiliation. MSF operates independently. We conduct our own evaluations on the ground to determine people’s needs. More than 90 per cent of our overall funding comes from millions of private sources, not governments. MSF is neutral. We do not take sides in armed conflicts, we provide care on the basis of need, and we push for independent access to victims of conflict as required under international humanitarian law. Bearing witness and speaking out MSF medical teams often witness violence and neglect in the course of their work, largely in regions that receive scant international attention. At times, MSF may speak out publicly in an effort to bring a forgotten crisis to public attention, to alert the public to abuses occurring beyond the headlines, to criticise the inadequacies of the aid system, or to challenge the diversion of humanitarian aid for political interests. Quality medical care MSF rejects the idea that poor people deserve third-rate medical care and strives to provide high-quality care to patients. In 1999, when MSF was awarded the Nobel Peace Prize, the organisation announced the money would go towards raising awareness of and fighting against neglected diseases. Through the Access Campaign, and in partnership with the Drugs for Neglected Diseases initiative, this work has helped lower the price of HIV/AIDS treatment and stimulated research and development for medicines to treat malaria and neglected diseases like sleeping sickness and kala azar.

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.

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Job Overview

  • Published on: 29 January, 2026
  • Employment Status: Contract
  • Field: Data and Artificial Intelligence
  • Work Mode: Onsite
  • Job Location: Kebbi, Nigeria
  • Qualification: BSc
  • Experience:
  • Salary:
  • Skills:
  • Application Deadline: Not specified
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