Aga Khan Health Service, Pakistan (AKHS,P), part of the Aga Khan Development Network (AKDN), is one of Pakistan’s leading not-for-profit healthcare organizations. AKHS,P delivers quality healthcare services through an extensive network of hospitals, medical centers, basic health centers, and community-based programs across the country, with a strong focus on innovation, excellence, and patient-centered care.

Summary of the Role:

AKHS,P is seeking an experienced Data Analyst for the CASI donor funded Program, based at the Central Office, Islamabad. The incumbent will lead monitoring, evaluation, analytics, and reporting functions, ensuring effective management and analysis of surveillance, baseline, midline, and endline data related to child nutrition, infant and young child feeding practices, and household food security.

The role will support evidence-based decision-making through data analysis, visualization, reporting, and generation of strategic insights to strengthen program implementation, adaptive management, donor reporting, and impact measurement across a multi-partner nutrition initiative.

Key Responsibilities:

1. Monitoring, Evaluation & Reporting:Design and manage M&E frameworks to track program indicators across child anthropometry, infant and young child feeding practices, household food security, parental education, agriculture, and SBCC components. Apply appropriate inferential statistics and effect-size measures to assess pre-/post-intervention differences and quantify magnitude of change. Synthesize field data into decision-ready reports for AKHS,P, AKDN agencies, and government partners.

2. Dashboards, Data Pipelines & Automation:Develop and maintain dashboards and automated reporting systems for real-time tracking of program performance and key indicators across all intervention areas.

3. Strategic Partnership with Leadership: Support senior leadership and AKDN partners in defining performance metrics, monitoring progress, and generating data-driven insights for program improvement and scale-up planning.

4. Data Integrity & Governance: Ensure data quality, integrity, and documentation standards across all data collection, storage, and reporting processes, including digital and paper-based survey workflows, built-in validation checks, encrypted storage, and access controls. Operate a real-time data oversight function with regular feedback to field supervisors to address inconsistencies. Maintain alignment with AKF’s M&E standards, ethical review requirements, and donor reporting obligations.

5.Team Leadership & Capacity Building:Manage and mentor field-based data and M&E officers in Gilgit-Baltistan, Chitral and Sindh including training on field measurement protocols and survey administration. Build local data capacity within community institutions and women’s and health groups to support community-level data collection, validation, and use  working through the same community-driven model that anchors CASI delivery.

6. Cross-Partner Coordination:Coordinate data systems and reporting across AKDN agencies; AKU, AKF, AKRSP, National Council, the Department of Health Gilgit-Baltistan, and other government stakeholders, ensuring complementarity, consistency, and joint learning across a multi-sectoral program that integrates health, nutrition, food security, agriculture, sanitation, and social protection.

Qualification, Experience & Skills Required:

• Master’s degree in Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or another relevant quantitative/public health discipline; however, candidates with relevant professional qualifications and experience commensurate with the scope and complexity of the role may also be considered.
• Minimum 5 years of experience in data analytics, monitoring & evaluation, and program reporting within development programs, preferably in nutrition, food security, health, or public health sectors, including demonstrated expertise in analyzing child anthropometric data, household nutrition surveys, and large-scale program datasets, with at least 3 years in a team lead or managerial role supervising remote and field-based teams.
• Strong expertise in data analysis, statistical modelling, and visualization using SQL, Python/R, Power BI/Tableau, STATA/SPSS, and advanced Excel.
• Experience in designing and managing M&E frameworks, baseline/midline/endline surveys, and results-based reporting systems.
• Proficiency in digital data collection platforms, ETL pipelines, data quality assurance, and dashboard automation using tools such as KoboToolbox and ODK.
• Sound knowledge of nutrition, food security, anthropometric, and public health indicators with ability to generate evidence-based insights for programme improvement.
• Strong analytical, reporting, and data storytelling skills with experience supporting donor reporting, executive presentations, and strategic decision-making.
• Proven leadership and coordination skills with experience in stakeholder engagement, multi-partner collaboration, government liaison, and management of geographically dispersed teams.
• Experience working with AKDN agencies, INGOs, government stakeholders, or multi-partner donor-funded programs will be considered a strong advantage.
• Familiarity with research ethics review processes and informed-consent protocols is desirable.
• Familiarity with remote mountain communities of Gilgit-Baltistan or Chitral will be an added advantage.
• Willingness and ability to undertake regular field travel across program areas is essential.

Additional Information:

• AKHS is committed to stringent safeguarding principles and enforces a zero-tolerance stance towards behaviors inconsistent with institutional safeguarding principles. Successful candidates will be required to align with these standards and undergo a comprehensive background verification process including reference checks, credential verification, and employment history review.
• AKHS is concerned about the climate and environmental crises we face and is doing everything possible to reduce our own impact, encouraging others to do the same, and advancing understanding in this field. AKHS has set itself the task of getting as close to net-zero carbon operations as possible by 2030. We expect all staff to contribute to achieving these aims in the context of their roles”.
• Canvassing of any nature will lead to automatic disqualification.
• Please note that AKHS does not charge any fee at any stage of the recruitment process.
• AKHS,P is an equal opportunity employer. Only shortlisted candidates will be contacted. AKHS,P reserves the right to modify or cancel the recruitment process at any stage and to accept or reject any application at its discretion. Due to the high volume of applications, individual feedback will not be provided.