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Data Analyst

Partners In Health (PIH) · INGO

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Job Description for Data Analyst  

Job Information  

Title  

Data Analyst  

Department  

Duty Station  

Reports to  

M&E, Research, Informatics, and IT  

Neno District  

Monitoring and Evaluation Manager  

M&E Research, Informatics, and IT Director  

Full-time  

Second Line Reporting  

Commitment  

Working Hours  

40 hours per week  

Program Overview:  

APZU works with the MOH to integrate and decentralize HIV and non-communicable disease (NCD)  

care into one care delivery model called the Integrated Chronic Care Clinic (IC3) and have a clinic for  

advanced chronic NCDs at the 2 hospitals in the district. In these clinics we treat a range of NCDs  

including diabetes, hypertension, epilepsy and severe mental illness.  

We are embarking to include screening and treatment of depression and anxiety for individuals receiving  

care through decentralized IC3 across all facilities in the district. This effort is supported by the National  

Institutes of Health in the United States and will also help to determine the effectiveness of depression  

and anxiety care both behavioral therapy (Problem Management Plus) and antidepressant care in Neno  

District.  

Job Summary:  

The Data Analyst will be responsible for overseeing and supporting all clinical and research data collection  

pertaining to the IC3 Decentralization project. This will include ongoing data collection activities in  

CommCare, DHIS2, electronic medical records (EMR), Microsoft Excel, and paper-based data collection,  

as relevant. As part of the IC3 decentralization, data will be collected on individual patients every six  

months. The Data Analyst will work closely with APZU Monitoring, Evaluation, Informatics, and Research  

team, Program Manager, Mental Health and NCD Manager, Data Clerks, Psychosocial Counselors and  

MOH leadership to support excellence in implementing and maintaining high-quality, district-wide data  

collection and analysis for quality assurance pertaining to the IC3 decentralization project.  

This specific position focuses on designing the data collection mechanisms for the IC3 decentralisation  

program, ensuring appropriate implementation of these data collection mechanisms, reviewing data  

collected for quality assurance and quality improvement purposes, and training/overseeing data collection  

among MH Data Clerks and Psychosocial Counselors. The Data Analyst will be based at Upper Neno with  

other administrative duties as assigned. S/he will travel regularly throughout Neno District on in  

coordination with the IC3 team, to oversee and monitor data collection activities.  

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Responsibilities and Duties:  


Establish data collection systems; Work with M&E, Research and Medical Informatics team  

members, as well as the IC3 decentralization Program Manager, to design data collection models  

pertaining to IC3 decentralization activities including patient screenings, clinical assessments, and  

provider fidelity to protocols; Create all relevant materials including digital, electronic, and paper-  

based forms to be used for data collection purposes.  



Oversee IC3 decentralization program data collection and reporting processes  

Manage, train, and mentor IC3 decentralization data collection staff including data clerks and  

psychosocial counselors.  

Maintain a high level of data quality in data collection systems, including CommCare, DHIS2 and  

the EMR  



Notify APZU and MOH colleagues on data concerns to inform quality improvement projects  

Generates analytical summaries, manuscripts, and presentations for internal, MoH, and donor  

audiences in line with requirements  


Develops, maintains and reviews automated databases, Power BI dashboards, and reporting  

pipelines in collaboration with Informatics team.  



Provides technical guidance on study design, data collection tools, and analytical frameworks for  

program studies and research in collaboration with Research Department.  

Any other duties that may be assigned  

Required Qualifications and Attributes  


Minimum of a Bachelor’s Degree in Statistics, Economics, Monitoring and Evaluation, Data Science,  

Computer Science, Epidemiology related field  


Minimum of three years’ experience with tablet-based data collection systems such as CommCare  

or ODK.  



Minimum of three years’ experience utilizing data stored in electronic medical records systems  

Minimum of five years’ experience organizing, analyzing and presenting data in Microsoft Excel,  

Power Point  


Prior experience managing other members of data collection teams and executing quality  

assurance and quality improvement protocols  









Expertise in survey design, quantitative and qualitative data analysis and program management  

Experience with data management of mental health information a plus  

Experience with Stata, Python, R, Power BI, Tableau, SAS or other analytic software a plus  

Native of Malawi, fluent in Chichewa and English with written proficiency in English  

Willingness to live and work full time in a rural setting in Neno District  

Willingness to travel throughout Neno District  

Willingness to learn how to ride a motorbike for field work  

Ability to work well in a dynamic team environment alongside health workers, support staff, and  

health personnel from a variety of backgrounds  



Able to work under minimum supervision  

A strong interest in learning social medicine; that is, a willingness to look at diseases of poverty  

through a wide “biopsychosocial” lens that draws upon knowledge from a wealth of disciplines  

including clinical medicine, sociology, anthropology and public health.  

Method of application  

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All interested and qualified candidates based in Malawi should apply strictly through  

https://www.pih.org/employment on or before 13th September 2026. Only shortlisted candidates will be  

invited for interviews.  

Safeguarding Commitment  

Partners In Health/Abwenzi Pa Za Umoyo (PIH/APZU) is committed to safeguarding staff, children and  

communities with whom we work from sexual exploitation, abuse and sexual harassment. Therefore, any  

offer of employment is conditional upon the successful completion of applicable background checks.  

The Organisation does not charge any fees at any stage of the recruitment process. If you are asked to  

make a payment at any stage of the recruitment process, please contact [email protected]rg and  


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  • Malawi