Overview

Data Analyst Jobs in Khartoum, Khartoum State, Sudan at International Advisory, Products and Systems (i-APS)

Title: Data Analyst

Company: International Advisory, Products and Systems (i-APS)

Location: Khartoum, Khartoum State, Sudan

Data Analyst

Duty Station: Khartoum, Sudan (In-person)

Contract Type: Full-time

Organization: i-APS Sudan – Country Office

ِAbout i-APS:

i-APS is an international advisory and monitoring partner delivering integrated solutions across monitoring, evaluation, data intelligence, and institutional strengthening. Combining global expertise with strong in-country networks, i-APS provides independent verification, advanced analytics, and technology-enabled insights to support humanitarian and development actors in complex environments.

Through its work, i-APS enables partners to strengthen accountability, enhance decision-making, and improve program performance, while building sustainable organizational capacity and systems for long-term impact.

www.i-aps.com

About the Role

i-APS Sudan is seeking a highly qualified Data Analyst. involves the data collection process, organizing and processing large datasets, and performing statistical analyses to support the development of comprehensive reports and suggest evidence-based conclusions. Data analysis is key to delivering accurate, reliable, and timely information to clients.

Key Responsibilities1. Statistical Analysis & Methodology Development

●     Support the development and design of statistical sampling approaches and methodologies for TPM projects.

●     Write statistical sampling methodologies and designs for reports and project documentation.

●       Organize, design, and conduct statistical analysis on i-APS datasets, applying meaningful statistical techniques.

●       Participate in the development and implementation of new master analysis templates.

2. Data Management & Processing

●  Lead and participate in designing data flow systems and processes using Google Suite for Sudan projects 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 standardize data to ensure consistency.

●  Develop and maintain an internal i-APS Sudan statistical library, including documentation of statistical approaches, graphical representations, and step-by-step processes.

3. Data Collection & Training

● Prepare training materials 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 the application of standardized data collection methodologies, ensuring quality and consistency.

4. Data Visualization & Reporting

●Contribute to producing high-quality dashboards, charts, graphs, and maps to visualize project-specific and organization-wide data.

●Support the development and maintenance of project management and data visualization tools to automate the flow of information from field teams to program managers and clients.

●Support data analysis, visualization, and statistical approach documentation.

5. 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 and ExperienceEducation

●  Bachelor’s or Master’s degree in Statistics, Data Science, Economics, or a related field.

Experience

● 2+ years of experience in data analysis, preferably in international development, humanitarian aid, or TPM projects..

●  Experience working with NGOs, UN agencies, or humanitarian programs is necessary.

Technical Skills

●     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).

●     Fluency in English and Arabic

●     Advanced skills in Google Suite applications (Google Sheets, Google Data Studio/Looker Studio, Google Scripts).

●     Hands-on experience in data visualization tools (Power BI, Tableau, or Google Looker Studio) (Preferred).

How to Apply

To apply, interested candidates must submit the following via email to [email protected]:

●     An updated Curriculum Vitae (CV).

●     A Cover Letter that emphasizes relevant experience in Data Analyst. 

Upload your CV/resume or any other relevant file. Max. file size: 800 MB.