Data Analyst
- Partners In Health
- Malawi
- MWK 144,000 – MWK 288,000
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/employmenton 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 bmsowoya@pih.org and
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Skills
- Data Analysis
- CommCare
- DHIS2
- Electronic medical records
- Microsoft Excel
- Data Collection
- Monitoring and Evaluation
