Data FI Kenya Project Intern – Data & Health Systems at Palladium International

Primary Duties and Responsibilities: 

• Data Collection, Validation & Management
• Support routine data collection from project sites and partner organisations. 
• Clean, verify, and validate datasets ensuring accuracy, completeness, and consistency.
• Conduct follow-up with data providers to address discrepancies or incomplete submissions. 
• Assist in organizing, archiving, and maintaining project datasets for easy retrieval and analysis.
• Data Analysis & Visualization
• Support the MEL Lead to generate basic analytical summaries and visualizations using Excel, Power BI, or project templates. 
• Support the MEL Lead in creation of dashboards and visual reports for internal and external stakeholders.
• Assist with DHIS2 data entry, retrieval, and routine reporting as required. 
• Activity Coordination & Support
• Participate in project field activities, including interviews, surveys, and transcription. 
• Support the TPM to prepare daily and weekly activity summaries, milestone tracking, highlighting progress, risks, and incidents.
• Support coordination during stakeholder engagements and data validation exercises.
• Project Implementation Support
• Assist the TPM in preparation of project documents, standard operating procedures, spreadsheets, and presentations.
• Support tracking of activity progress against timelines using project management tools or spreadsheets. 
• Maintain communication and document flow between project teams and partner institutions.
• Administrative and Team Support
• Assist the TPM with meeting scheduling, coordination, and follow-up action tracking.
• Provide logistical support during project events, trainings, and meetings.
• Contribute to a collaborative team environment through proactive engagement and task ownership.

Required Qualifications:

• Bachelor’s degree in Actuarial Science, Statistics, Data Science, Public Health, or a related quantitative field.
• Strong proficiency in Microsoft Excel (advanced) and working knowledge of Power BI and DHIS2 for data collection, reporting, and visualization. 
• Familiarity with digital tools, data entry platforms, and general IT systems.
• Ability to transcribe, clean, and prepare qualitative and quantitative data for analysis. 
• Experience supporting research, fieldwork, or analytical assignments (e.g., National Health Accounts data collection). 
• Experience with documentation review, reporting, and stakeholder follow-up.
• Strong attention to detail and commitment to accuracy. 
• Highly organized, dependable, and able to manage multiple tasks.
• Team player with strong communication and interpersonal skills.
• Self-motivated, proactive, eager to learn, and comfortable working with minimal supervision. 
• Knowledge of using any statistical software such as R, STATA, Python is an added advantage.