Data Management and Reporting Intern

Role Overview

This internship sits at the intersection of data operations and learning systems, helping ensure that monitoring and evaluation information is reliable, accessible, and ready for decision-making. The intern will work with AIMS and Qlik environments to prepare datasets, clarify reporting needs, and quality-check dashboard outputs. By keeping data clean and feedback loops active, the role strengthens how programs track performance and act on evidence.

Key Responsibilities

• Extract, sort, and structure data from AIMS and related systems for recurring and ad hoc reporting.
• Work with report users to capture visualization requirements, keep a clear record of assignments, and communicate progress.
• Track visualization tasks through completion, testing outputs for accuracy, usability, and alignment with reporting standards.
• Check data matches and business logic for new or updated dashboards, ensuring displayed results reflect agreed definitions.
• Execute DQA validation routines in AIMS and Qlik, investigate exceptions, and confirm data is reliable for reporting.
• Update the DQA issue log on a biweekly cycle with insights, follow-up actions, and status notes for Corporate MEL focal points.
• Monitor DQA performance in Qlik to spot country-specific design and monitoring gaps; present these in MEL meetings to prompt action.
• Contribute to documentation of DQA workflow and visualization enhancements, and support Routine Data Quality Audits (RDQAs) with implementing offices to validate data integrity.

Requirements & Qualifications

Education and experience

• Diploma at minimum in Statistics, Data Analytics, IT, Social Sciences, Public Health, or a related discipline; a Bachelor’s degree is preferred.
• At least one year of experience in a comparable data management, reporting, M&E, or analytics support role.

Knowledge, skills, and competencies

• Ability to coordinate with country office focal points and build cooperative working relationships across teams.
• Strong facilitation skills and a style that encourages inclusive participation in requirements discussions and meetings.
• Self-directed work habits, with the initiative to follow up on assignments and resolve routine issues proactively.
• Commitment to integrity, honesty, and ethical conduct in handling data and working with colleagues.
• Attention to detail for data validation, testing, and documentation.
• Comfort working with data systems and visualization tools, particularly AIMS and Qlik.
• Clear communication skills for explaining data issues and reporting needs to non-technical users.