Palladium develops and delivers solutions that create positive impact for communities, businesses, societies and economies. We transform lives and create enduring value by working with governments, corporations and non-profit organisations.
This internship position supports the Data FI Kenya Project, focusing on data management, analysis, and health systems support.
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.
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