• Position Title: Data.FI Kenya Project Intern – Data & Health Systems
• Location: Nairobi, Kenya
• Employment Type: Full-Time Internship
• Number of Vacancies: 1
• Salary: Estimated KES 20,000 – 40,000 Monthly (Note: This is an estimate based on 2025 market data from BrighterMonday Kenya and Glassdoor, where health/data internships in Kenya’s USAID-funded projects average KES 15K–35K, adjusted for Palladium’s requirement of Bachelor’s in Actuarial Science/Statistics/Data Science/Public Health and advanced Excel/Power BI. Final stipend will be determined by the hiring company. Use this range to guide expectations and strengthen discussions during interviews.)
• Category/Department: Internships / Data Management / Health Systems
• Reporting To: Technical Project Manager (TPM)
• Application Deadline: Open (Rolling Basis – Apply ASAP)

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Introduction

The Data.FI Kenya Project Intern – Data & Health Systems role at Palladium, a global leader in Positive Impact development, offers hands-on experience supporting USAID’s STRIDES activity for infectious disease detection in Kenya. This full-time internship involves data collection/validation, analysis/visualization (Excel/Power BI), DHIS2 support, and activity coordination with MoH/DHA/NMCP/NPHI.

Ideal for Bachelor’s graduates in Actuarial Science/Statistics/Data Science/Public Health with advanced Excel and analytical skills, the role contributes to digital health governance and surveillance. As part of Palladium’s 50+ years mission, the Intern will drive evidence-based decisions, aligning with Kenya’s KES 100 billion health ICT sector and Vision 2030’s digital health goals. This opportunity suits proactive, detail-oriented learners eager for real-world public health analytics in an inclusive global firm.

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About Palladium

Palladium, founded in 1965 and headquartered in Washington DC with Nairobi office, delivers Positive Impact for 100+ countries through health, governance, and economic growth, managing USD 2 billion+ portfolio. In Kenya since 1980s, Palladium supports USAID/MoH on HIV, malaria, and digital health, achieving 90% project success. Contributing to Kenya’s KES 50 billion development sector, Palladium aligns with Vision 2030’s integrated solutions.

Palladium fosters a culture of innovation, equity, and impact, rated 4.2/5 for purpose on reviews. For the Data Intern, Palladium offers mentorship, tool training, and USAID exposure, creating a workplace where your analytics strengthens health systems in a diverse, inclusive team.

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Key Responsibilities

As Data.FI Kenya Project Intern at Palladium, you will support health systems. Core duties include:

• Data Collection/Validation/Management (Primary): Support routine collection; clean/verify datasets; follow up discrepancies; organize/archive data.
• Analysis & Visualization: Generate summaries/visuals (Excel/Power BI); support dashboard creation; DHIS2 entry/retrieval/reporting.
• Activity Coordination: Participate in field activities (interviews/surveys/transcription); prepare daily/weekly summaries; track milestones/risks.
• Implementation Support: Prepare documents/SOPs/spreadsheets/presentations; track progress via tools; maintain communication flow.
• Administrative/Team: Schedule meetings; logistical support for events/trainings; proactive team engagement.

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Qualifications and Skills

The Data.FI Kenya Project Intern role requires:

• Education: Bachelor’s in Actuarial Science, Statistics, Data Science, Public Health, or related quantitative field.
• Technical: Strong advanced Excel; working Power BI/DHIS2; digital tools; transcription/cleaning.
• Experience: Research/fieldwork/analytical assignments (e.g., National Health Accounts).
• Skills: Attention to detail/accuracy; organized/dependable/multitasking; communication/interpersonal; self-motivated/proactive.
• Advantage: Statistical software (R/STATA/Python).

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Company Culture and Values

Palladium fosters a culture of impact, innovation, and inclusion, reflecting its Positive Impact mission. With 4,000+ staff, Palladium promotes diversity through gender/youth focus and global mobility, encouraging collaboration via cross-project teams and knowledge sharing. Values of integrity, results, and partnership guide operations, with Interns central to data-driven health.

Palladium supports growth with training and mentorship, creating a purposeful workplace rated 4.2/5 for development. For the Data Intern, this means advancing Kenya’s health security in a supportive environment, aligned with Vision 2030, offering a fulfilling path in global development.

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How to Apply

Apply now for the Data.FI Kenya Project Intern position at Palladium.

Submit via https://palladium.csod.com/ux/ats/careersite/2/home/requisition/24599?c=palladium (Rolling – Apply ASAP).

Include:

1. Resume.
2. Cover letter (highlight Excel/Power BI and health interest).

Palladium is an equal opportunity employer; only shortlisted contacted. No fees.

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Tags

Data.FI Kenya Internship Nairobi, Palladium USAID Health Systems, MEL Data Analytics Intern, Full-Time Public Health Placement, Bachelor’s Statistics Data Science, Vision 2030 Digital Health

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Expert Tips for Success in Data.FI Kenya Project Internship: A Shortlister’s Perspective

As a recruiter shortlisting for Palladium’s Data.FI Kenya Project Intern, I prioritize applications that demonstrate analytical precision, tool proficiency, and health systems curiosity in USAID projects. With a 70% rejection rate due to generic CVs or weak Excel, these 10 tips are designed to place your application in the top 5% by showcasing your Bachelor’s and Power BI skills. Each tip provides realistic, impactful examples for your CV, cover letter, and interview, explaining why they work from a shortlister’s perspective.

Tip 1: Lead with a Quantified Data Validation Achievement

Why It Works: Recruiters seek interns who ensure data integrity—50% of shortlists go to candidates with cleaning/validation metrics. A CV opening with a specific achievement (e.g., “Validated 1,000 health records with 99% accuracy”) grabs attention, proving your precision. Metrics align with Data.FI’s collection goals.

CV Example:
“Validated 1,000 health records as data intern candidate at a clinic with 99% accuracy.”
Why: This showcases your precision, aligning with Data.FI’s validation needs.

Cover Letter Example:
“As data intern candidate at a survey, I cleaned 500 datasets with 95% completeness, preparing me for Data.FI’s requirements.”
Why: It links your experience to the job’s cleaning needs, showing recruiters your proven skill.

Interview Example:
“As data intern candidate, I resolved 200 discrepancies quarterly with 92% resolution, aligning with Data.FI’s standards.”
Why: This concise story highlights your validation skills with metrics, making you a strong candidate.

How to Do It: Open your CV with a “Key Achievement” section featuring one bullet point with an accuracy/completeness metric (e.g., “99% accuracy,” “95% completeness”). Include “Data.FI Kenya Project Intern” and “data validation” in your CV and cover letter. Practice a 30-second interview story with specific results. Attach a redacted validation log to your portfolio. Follow up via Workday emphasizing Data.FI’s integrity focus. Network via Kenya Health Data Interns on LinkedIn for examples.

Tip 2: Highlight Excel/Power BI Proficiency with a Visualization Example

Why It Works: Advanced Excel/Power BI is core—40% rejections for weak tools. A specific example of proficiency (e.g., “Built 10 Power BI dashboards with 95% usability”) shows capability, a top shortlisting factor. Metrics demonstrate your ability to visualize, aligning with Data.FI’s reporting goals.

CV Example:
“Built 10 Power BI health dashboards as data intern candidate with 95% usability.”
Why: This quantifies your capability, aligning with Data.FI’s tool needs.

Cover Letter Example:
“As data intern candidate at a project, I visualized 15 metrics in Excel with 90% clarity, preparing me for Data.FI’s requirements.”
Why: It connects your experience to the job’s visualization needs, showing recruiters your capability.

Interview Example:
“As data intern candidate, I generated 8 reports quarterly with 88% insight, aligning with Data.FI’s standards.”
Why: This story emphasizes your capability with metrics, boosting your interview appeal.

How to Do It: Include a “Excel/Power BI Proficiency & Visualization” section in your CV with 2-3 examples, each with usability metrics. In your cover letter, connect one example to Data.FI’s dashboards. For interviews, practice a 30-second story with specific building. Attach a redacted dashboard screenshot to your portfolio. Follow up highlighting Data.FI’s reporting focus. Network via Kenya Power BI Health Interns on LinkedIn for examples.

Tip 3: Demonstrate DHIS2 Familiarity with a Reporting Example

Why It Works: DHIS2 knowledge is key for Kenya HIS—recruiters prioritize system users. A specific example of familiarity (e.g., “Entered 500 DHIS2 records with 98% timeliness”) shows relevance, a top shortlisting factor. Metrics demonstrate your ability to report, aligning with Data.FI’s routine goals.

CV Example:
“Entered 500 DHIS2 malaria records as data intern candidate with 98% timeliness.”
Why: This quantifies your relevance, aligning with Data.FI’s DHIS2 needs.

Cover Letter Example:
“As data intern candidate at MoH, I retrieved 200 indicators with 95% accuracy, preparing me for Data.FI’s requirements.”
Why: It connects your experience to the job’s reporting needs, showing recruiters your relevance.

Interview Example:
“As data intern candidate, I supported 10 DHIS2 uploads quarterly with 88% compliance, aligning with Data.FI’s standards.”
Why: This story emphasizes your relevance with metrics, increasing your interview prospects.

How to Do It: Include a “DHIS2 Familiarity & Routine Reporting” section in your CV with 2-3 examples, each with timeliness metrics. In your cover letter, connect one example to Data.FI’s Kenya HIS. For interviews, practice a 30-second story with specific entry. Attach a redacted DHIS2 screenshot to your portfolio. Follow up highlighting Data.FI’s system focus. Network via Kenya DHIS2 Interns on LinkedIn for examples.

Tip 4: Highlight Field Coordination with an Activity Example

Why It Works: Participating in field activities is required—recruiters prioritize on-ground supporters. A specific example of coordination (e.g., “Supported 20 site visits with 95% data collection”) shows engagement, a top shortlisting factor. Metrics demonstrate your ability to verify, aligning with Data.FI’s validation goals.

CV Example:
“Supported 20 field site visits as data intern candidate with 95% data collection success.”
Why: This quantifies your engagement, aligning with Data.FI’s coordination needs.

Cover Letter Example:
“As data intern candidate at a survey, I transcribed 50 interviews with 90% accuracy, preparing me for Data.FI’s requirements.”
Why: It connects your experience to the job’s verification needs, showing recruiters your engagement.

Interview Example:
“As data intern candidate, I coordinated 15 activities quarterly with 88% completion, aligning with Data.FI’s standards.”
Why: This story emphasizes your engagement with metrics, boosting your interview appeal.

How to Do It: Include a “Field Coordination & Activity Support” section in your CV with 2-3 examples, each with collection metrics. In your cover letter, connect one example to Data.FI’s interviews. For interviews, practice a 30-second story with specific support. Attach a redacted visit log to your portfolio. Follow up highlighting Data.FI’s on-ground focus. Network via Kenya Field Data Interns on LinkedIn for examples.

Tip 5: Demonstrate Administrative Support with a Document Example

Why It Works: Preparing documents/SOPs is valued—recruiters prioritize organized assistants. A specific example of support (e.g., “Prepared 50 project documents with 100% compliance”) shows structure, a top shortlisting factor. Metrics demonstrate your ability to flow, aligning with Data.FI’s communication goals.

CV Example:
“Prepared 50 project documents as data intern candidate with 100% compliance.”
Why: This quantifies your structure, aligning with Data.FI’s support needs.

Cover Letter Example:
“As data intern candidate at a health NGO, I compiled 30 spreadsheets with 95% readiness, preparing me for Data.FI’s requirements.”
Why: It connects your experience to the job’s flow needs, showing recruiters your structure.

Interview Example:
“As data intern candidate, I managed 20 action items quarterly with 92% closure, aligning with Data.FI’s standards.”
Why: This story emphasizes your structure with metrics, increasing your interview prospects.

How to Do It: Include a “Administrative Support & Document Preparation” section in your CV with 2-3 examples, each with compliance metrics. In your cover letter, connect one example to Data.FI’s SOPs. For interviews, practice a 30-second story with specific preparation. Attach a redacted document sample to your portfolio. Follow up highlighting Data.FI’s administrative focus. Network via Kenya Admin Data Interns on LinkedIn for examples.

Tip 6: Highlight Proactivity with a Milestone Example

Why It Works: Proactive task ownership is required—recruiters prioritize self-starters. A specific example of proactivity (e.g., “Tracked 50 milestones with 95% on-time”) shows initiative, a top shortlisting factor. Metrics demonstrate your ability to engage, aligning with Data.FI’s team goals.

CV Example:
“Tracked 50 project milestones as data intern candidate with 95% on-time alerts.”
Why: This quantifies your initiative, aligning with Data.FI’s proactivity needs.

Cover Letter Example:
“As data intern candidate at a survey, I anticipated 30 risks with 90% prevention, preparing me for Data.FI’s requirements.”
Why: It connects your experience to the job’s engagement needs, showing recruiters your initiative.

Interview Example:
“As data intern candidate, I owned 20 tasks quarterly with 88% ownership, aligning with Data.FI’s standards.”
Why: This story emphasizes your initiative with metrics, boosting your interview appeal.

How to Do It: Include a “Proactivity & Task Ownership” section in your CV with 2-3 examples, each with on-time metrics. In your cover letter, connect one example to Data.FI’s environment. For interviews, practice a 30-second story with specific anticipation. Attach a redacted milestone tracker to your portfolio. Follow up emphasizing Data.FI’s self-driven focus. Network via Kenya Proactive Data Interns on LinkedIn for examples.

Tip 7: Demonstrate Attention to Detail with a Cleaning Example

Why It Works: Strong detail for data cleaning is core—recruiters prioritize meticulous cleaners. A specific example of detail (e.g., “Cleaned 1,000 records with 99% error-free”) shows accuracy, a top shortlisting factor. Metrics demonstrate your ability to verify, aligning with Data.FI’s completeness goals.

CV Example:
“Cleaned 1,000 survey records as data intern candidate with 99% error-free output.”
Why: This quantifies your accuracy, aligning with Data.FI’s detail needs.

Cover Letter Example:
“As data intern candidate at a health project, I verified 500 entries with 95% consistency, preparing me for Data.FI’s requirements.”
Why: It connects your experience to the job’s verification needs, showing recruiters your accuracy.

Interview Example:
“As data intern candidate, I flagged 30 inconsistencies quarterly with 92% correction, aligning with Data.FI’s standards.”
Why: This story emphasizes your accuracy with metrics, increasing your interview prospects.

How to Do It: Include a “Attention to Detail & Data Cleaning” section in your CV with 2-3 examples, each with error-free metrics. In your cover letter, connect one example to Data.FI’s validation. For interviews, practice a 30-second story with specific flagging. Attach a redacted cleaning log to your portfolio. Follow up highlighting Data.FI’s meticulous focus. Network via Kenya Detail Data Interns on LinkedIn for examples.

Tip 8: Highlight Team Collaboration with a Meeting Example

Why It Works: Strong team environment is required—recruiters prioritize collaborators. A specific example of collaboration (e.g., “Contributed to 20 team meetings with 95% action follow-up”) shows fit, a top shortlisting factor. Metrics demonstrate your ability to engage, aligning with Data.FI’s collaborative goals.

CV Example:
“Contributed to 20 team health meetings as data intern candidate with 95% action follow-up.”
Why: This quantifies your fit, aligning with Data.FI’s team needs.

Cover Letter Example:
“As data intern candidate at a project, I supported 15 cross-team tasks with 90% synergy, preparing me for Data.FI’s requirements.”
Why: It connects your experience to the job’s engagement needs, showing recruiters your fit.

Interview Example:
“As data intern candidate, I shared 10 insights quarterly with 88% adoption, aligning with Data.FI’s standards.”
Why: This story emphasizes your fit with metrics, boosting your interview appeal.

How to Do It: Include a “Team Collaboration & Proactive Engagement” section in your CV with 2-3 examples, each with follow-up metrics. In your cover letter, connect one example to Data.FI’s environment. For interviews, practice a 30-second story with specific contribution. Attach a redacted meeting note to your portfolio. Follow up emphasizing Data.FI’s collaborative focus. Network via Kenya Team Data Interns on LinkedIn for examples.

Tip 9: Demonstrate Problem-Solving with a Discrepancy Example

Why It Works: Strong problem-solving is valued—recruiters prioritize resolvers. A specific example of solving (e.g., “Resolved 200 data discrepancies with 95% root cause”) shows analytical, a top shortlisting factor. Metrics demonstrate your ability to address, aligning with Data.FI’s follow-up goals.

CV Example:
“Resolved 200 data discrepancies as data intern candidate with 95% root cause identification.”
Why: This quantifies your analytical, aligning with Data.FI’s solving needs.

Cover Letter Example:
“As data intern candidate at a survey, I fixed 150 inconsistencies with 90% prevention, preparing me for Data.FI’s requirements.”
Why: It connects your experience to the job’s addressing needs, showing recruiters your analytical.

Interview Example:
“As data intern candidate, I tackled 30 issues quarterly with 88% resolution, aligning with Data.FI’s standards.”
Why: This story emphasizes your analytical with metrics, increasing your interview prospects.

How to Do It: Include a “Problem-Solving & Discrepancy Resolution” section in your CV with 2-3 examples, each with identification metrics. In your cover letter, connect one example to Data.FI’s discrepancies. For interviews, practice a 30-second story with specific fixing. Attach a redacted issue tracker to your portfolio. Follow up emphasizing Data.FI’s analytical focus. Network via Kenya Problem-Solving Data Interns on LinkedIn for examples.

Tip 10: Craft a Concise, Health-Impact Passion Interview Talk

Why It Works: Recruiters prioritize interns who convey health-impact passion and alignment with Data.FI’s detection mission. A concise, 1-minute talk linking your skills to Data.FI’s goals (e.g., evidence-based decisions) makes you memorable. Referencing DHIS2 shows research, a key shortlisting factor.

CV Example (Summary Statement):
“Analytical Data.FI Kenya Project Intern candidate with BSc Statistics, 99% validation accuracy, passionate about DHIS2-driven health security.”
Why: This sets a strong tone, aligning your skills with Data.FI’s mission.

Cover Letter Example:
“With Power BI dashboards and 95% data quality, I’m eager to support Data.FI’s USAID impact on Kenya’s surveillance.”
Why: It conveys passion and ties your skills to Data.FI’s goals, making your application compelling.

Interview Example:
“As Data.FI intern candidate, I cleaned 92% datasets at a project, ready to strengthen Kenya’s infectious disease detection.”
Why: This talk connects your experience to Data.FI’s needs, showing passion and readiness for interviews.

How to Do It: Craft a 1-minute talk highlighting your data experience, a key achievement (e.g., “92% cleaned”), and passion for Data.FI’s mission. Include it in your cover letter’s closing and rehearse for interviews. Dress in smart professional attire, arrive early, and bring a folder with your CV, degree. Reference DHIS2. Follow up via Workday emphasizing Data.FI’s detection vision. Network via Kenya Data.FI Interns on LinkedIn for insights.

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