Data Interns – DTII
Posted:
Job Summary
We are seeking a technically strong and highly motivated DTII Intern to support our Digital Transformation, Intelligence & Impact function.
This role is ideal for individuals passionate about data, technology, and solving real-world health system challenges. You will gain hands-on experience in data engineering, analytics, AI applications, and digital tool development within a dynamic and impact-driven environment
Key Responsibilities
Data Engineering & Systems Integration
- Develop and maintain scripts (Python, R, SQL) to automate analysis and reporting
- Support integration with health information systems (e.g., DHIS2, eLMIS)
- Perform data extraction, cleaning, and transformation
- Maintain code repositories and technical documentation
Data Analysis & Visualization
- Analyze datasets and generate actionable insights
- Develop dashboards and visualizations (Power BI, Tableau, web tools)
- Support the development of web-based tools using React.js and FastAPI
AI & Innovation
- Support the design and testing of AI-driven solutions
- Pilot and validate innovative data use approaches
- Document learnings and identify improvement opportunities
Forecasting & Supply Chain Analytics
- Support demand forecasting and supply chain analytics initiatives
Capacity Building & Data Use
- Support training and mentorship initiatives
- Promote a data-driven culture among stakeholders
Stakeholder Engagement
- Support the planning and coordination of workshops
- Provide logistical and technical support during engagements
Project Coordination
- Assist with team meetings, documentation, and reporting
- Support internal coordination and activity tracking
Minimum Requirements
Education
- Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or related field
Technical Skills
- Proficiency in Python or R
- Working knowledge of SQL and databases
- Basic frontend development (React, JavaScript/TypeScript)
- Exposure to backend frameworks (FastAPI, Flask, etc.)
- Experience with data visualization tools (Power BI, Tableau)
- Familiarity with Git (GitHub/GitLab)
Experience
- Exposure to AI/ML tools is an added advantage
Key Competencies
- Strong analytical and problem-solving skills
- Attention to detail
- Ability to communicate technical concepts clearly
- Strong organization and multitasking ability
- Eagerness to learn and adapt in a fast-paced environment
What You Will Gain
- Hands-on experience in real-world health data systems
- Exposure to AI, analytics, and digital transformation projects
- Mentorship from experienced professionals
- Opportunity to contribute to impactful health system improvements
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