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19 Nov 2025

Global Client Data Intern at One Acre Fund

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Job Description

One Acre Fund is a nonprofit organization that supplies smallholder farmers in East Africa with asset-based financing and agriculture training services to reduce hunger and poverty.

Global Client Data Intern

The Global Client Data Analysis Intern will join the Global Business Operations division at One Acre Fund, working closely with the Global Client Data team. You will report to the Global Client Data Lead and collaborate with data analysts and engineers across multiple countries to enhance data quality, reporting consistency, and analytics insights.

Responsibilities

  • Support the cleaning, validation, and transformation of global client data using tools like Dataiku and Snowflake.
  • Develop and maintain interactive dashboards and reports in Superset to monitor key performance metrics.
  • Contribute to the design of data workflows that improve access and accuracy of country-level reporting.
  • Assist in analyzing trends and generating insights to support decision-making across global teams.
  • Document data processes and create reference guides for regional data teams.
  • Schedule chats with stakeholders to understand requirements, get feedback and hand over projects

Career Growth and Development

We have a strong culture of constant learning and we deeply invest in our people. You’ll have weekly check-ins with your manager, access to mentorship and training, and regular feedback on your performance. We’ll hold career reviews every one-three months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and gain rewarding technical experience.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

  • Academic or professional experience in data analysis, statistics, or computer science.
  • Strong working knowledge of SQL and proficiency in at least one analytical tool (e.g., Python, R, or Dataiku).
  • Experience with data visualization tools such as Superset, Power BI, or Tableau.
  • Familiarity with relational databases and data pipelines (preferably in Snowflake).


Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : February 16, 2026





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