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PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing heath challenges. 

PATH seeks a Data Quality Specialist for the US Government (UGS)-funded “Reaching Every At-risk Community and Household with Malaria Services” (PMI REACH Malaria) global project. REACH aims to provide implementation support services and technical assistance to countries to accelerate progress in comprehensive delivery of facility and community-based malaria services, including malaria case management, prevention of malaria in pregnancy (MiP), data collection and use for service delivery, and other malaria prevention interventions.

The Data Quality Specialist will report to the MEL Manager and will support the PMI REACH Malaria project in Burundi to strengthen malaria data systems, improve data quality, and promote the use of malaria data for strategic decision-making. The Data quality specialist will work closely with the PNLP, health district teams, and other stakeholders to ensure that malaria data are accurate, timely, and used effectively to guide programmatic actions.

Please note that this role is based in Burundi and Burundi nationals are encouraged to apply

Responsibilities:

• Lead the design and implementation of malaria data quality improvement plans in collaboration with the PNLP and relevant stakeholders.
• Work with district teams to organize and implement routine data quality assessments (rDQA) at health facilities using standardized tools, and provide support for the analysis of results, and identification and follow-up on identified recommendations for data quality improvement.
• Conduct in-depth analyses of the routine data collected to identify data quality gaps and support corrective actions through mentoring and supervision.
• Support the development and rollout of malaria data quality visualization and feedback mechanisms.
• Implement data validation and cleaning protocols to correct any inconsistencies and enhance the reliability of analyses.
• Facilitate regular malaria data review meetings at national and subnational levels.
• Support PNLP and district teams in interpreting malaria data to inform planning, resource allocation, and targeted interventions.
• Collaborate with the HMIS/DHIS2 team to ensure malaria indicators are accurately captured and reported.
• Contribute to the refinement of malaria indicators, reporting tools and data flow processes.
• Participate in the national SME Technical Working Group.
• Contribute to the development of technical presentations, training materials, SOPs, and reports.
• Develop and maintain relationships with key stakeholders such as the NMCP/MOPH, implementing partners, and donors working in the area of surveillance, monitoring and evaluation, and data quality.

Required skills and experience:

• Bachelor’s degree in Public Health, Statistics, Computer Science, Health Informatics or relevant discipline.
• Minimum of 5 years’ experience and demonstrated skills in health information management system (HMIS) data reporting and data quality approaches.
• Knowledge and experience of MOPH’s health information systems (HMIS) and DHIS2 is a requirement.
• Experience in data quality audits/assessments, data validation, and/or data reviews, preferably for health programming
• Experience in providing technical assistance and conducting capacity building activities in relation to data systems management, data recording, validation, reporting, analysis, and use.
• Prior experience working with the national ministry of public health/national malaria control program, is preferred.
• Strong problem-solving, organization skills and a positive, solution-oriented approach to challenges.
• Strong analytical, presentation, and facilitation skills.
• Extremely detail-oriented, with the ability to communicate effectively and concisely, both orally and in writing.
• Strong work ethic, resourcefulness, integrity, credibility, and dedication to PATH’s mission.
• Fluency in French (oral, writing, and reading); fluency in Kirundi preferred. Proficiency in English is an asset.
• Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Teams) required, and experience with data visualization tools (e.g., Power BI, Tableau, DHIS2) and data analysis software programs (e.g., Excel, R, Stata, SPSS, etc.) required.