Data Analyst

i-APS Afghanistan is seeking a motivated and enthusiastic individual to serve as a 
Data Analyst.

Location:
Kabul, Afghanistan

Type of Contract:
Full-time, onsite

Contract Duration:
6 months, with a high possibility of extension based on funding availability.

The Data Analyst at i-APS will support technical experts and project managers by conducting in-depth data analysis, developing statistical methodologies, ensuring data quality, and designing data visualisation tools. The role requires experience in statistical sampling, data collection, cleaning, visualisation, and reporting, with a strong focus on evaluation studies. The Data Analyst will also contribute to developing internal data management processes and support other initiatives across various projects.

Key Responsibilities:

Statistical Analysis & Methodology Development

• Support the development and design of statistical sampling approaches and methodologies for the projects.
• Write statistical sampling methodologies and designs for reports and project documentation.
• Organise, design, and conduct statistical analysis on i-APS datasets, applying meaningful statistical techniques.
• Participate in the development and implementation of new master analysis templates.

Data Management & Processing

• Lead and participate in designing data flow systems and processes using Google Suite for projects in Afghanistan and other i-APS initiatives.
• Design project data flow processes and quality assurance methods, monitor data flow for quality assurance, prepare data quality assurance reports and clean and standardise data to ensure consistency.
• Develop and maintain an internal i-APS Afghanistan statistical library, including documentation of statistical approaches, graphical representations, and step-by-step processes.

Data Collection & Training

• Prepare training materials in local languages (Dari and Pashto) and provide training on data collection oversight and data collection tools such as KAPsurvey, Kobo Toolbox and Open Data Kit (ODK).
• Design and implement data collection tools and assessment methodologies, including KAPsurvey.
• Support field teams in applying standardised data collection methodologies, ensuring quality and consistency.

Data Visualisation & Reporting

• Contribute to producing high-quality dashboards, charts, graphs, and maps to visualise project-specific and organisation-wide data, using i-APS branding.
• Support the translation of data from Dari/Pashto to English and vice versa.
• Support the development and maintenance of project management and data visualisation tools to automate the flow of information from field teams to program managers and clients.
• Support data analysis, visualisation, and statistical approach documentation.

Collaboration & Knowledge Sharing

• Work proactively with the Data Analysis Unit (DAU) team to share insights, methodologies, and best practices.
• Participate in the development and revision of data standards and advise on their integration into local systems and processes.
• Provide technical support to project teams on data management, analysis, and reporting.

Qualifications:

• Bachelor's or Master's degree in Statistics, Data Science, Public Health, Economics, or a related field.
• 2+ years of experience in data analysis, preferably in international development, humanitarian aid, or TPM projects.
• Strong proficiency in statistical software (e.g., R, Python, Stata, or SPSS).
• Experience using data collection tools such as Kobo Toolbox and Open Data Kit (ODK).
• Advanced skills in Google Suite applications (Google Sheets, Google Data Studio/Looker Studio, Google Scripts) (Preferred).
• Hands-on experience in data visualisation tools (Power BI, Tableau, or Google Looker Studio) (Preferred).
• Strong data quality assurance and standardisation skills.
• Excellent written and verbal communication skills, with experience in writing analytical reports.
• Ability to work collaboratively in a fast-paced, multi-sectoral environment.
• Proficiency in English, Dari, and Pashto.

Required documents:

• Updated CV
• Diploma/Certificates
• References or recommendation letters (optional)