PIH Data Analyst

Job Description

Description

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.

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

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

https://www.pih.org/employment on or before 13^thSeptember 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

[email protected]g .

This position is no longer open.

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