WASH Data Fellow

World Vision is hiring a WASH Data Fellow to support our International Programs Group.

At a Glance

Role: WASH Data Fellow

Reports to: Senior Operations and Strategy Manager

Location: Remote

Required Experience: Bachelor's degree is required. Ability to clean, join, and analyze structured datasets to answer programmatic or financial questions. Ability to implement or adapt basic predictive or classification models using existing libraries, with guidance. Ability to build data pipelines between systems using APIs, scripts, or other methods as necessary Interest in learning about and working in the WASH sector.

Work Authorization: Must be authorized to work in the U.S.A for any employer.

Estimated hiring range: $24.04/hour - $31.58/hour

The Job

As the WASH Data Fellow, you will contribute to World Vision’s mission, advancing access to clean water, sanitation, and hygiene as foundations of child well-being. World Vision has over 35 years of experience partnering with communities worldwide to deliver sustainable WASH solutions, grounded in the call of Matthew 25:34–40.

This role supports World Vision’s five-year Global WASH Business Plan spanning 42 countries and emphasizing innovation, advanced analytics, and data-informed decision-making. The fellow will help develop and scale data analytics and orchestration of pipelines between layered data architectures to strengthen high-level insights about global WASH investments and programming. Develop your skills, explore your interests, and build your international development experience by making a meaningful contribution in helping millions of people. 

This is a remote full-time, two-year fellowship (with a negotiable part-time remote option through May 2026) embedded within a high-performing global WASH team of 19 in World Vision’s International Programs Group. Tools, systems, and strategies developed through the fellowship will be integrated into ongoing WASH programs, budgets, and partnerships, driving long-term, system-wide impact beyond the fellowship period.

Responsibilities will include

• Keep Christ central in individual and corporate life. Actively participate in and contribute to the spiritual disciplines of the organization (Christian conduct, chapel, prayer, worship, devotions, and leadership of devotions); incorporate WV Core Values into decisions within scope of role.
• Query and manipulate programmatic output and financial data through ETL processes from multiple databases to prepare multi-dimensional datasets for on-going analysis and dynamic forecasting.
• Lead Machine Learning and Data-Informed Solutions: You will gain experience designing and implementing data engineering and analytics pilot projects, addressing inefficiencies to enhance WASH programs’ long-term impact and sustainability. 
• Build Data Accessibility: You will lead in the creation of near-real time data visualization products for WASH team members, equipping them with the skills and tools to easily use financial and programmatic data in their daily operations.
• Analyze Data from Remote Sensing & Hydraulic Models: You will collaborate with team members to analyze data from small scale rural water system meters to generate insights for efficient water distribution and management.
• Communicate Project Results: You will contribute to creating reports, visualizations, and presentations that showcase the impact of our WASH work to internal and external stakeholders.
• Engage in Mentorship and Professional Development: You will have the opportunity to work with and be mentored by WASH leaders receiving guidance on navigating global development challenges.

You Bring These Skills

• Enthusiasm for Learning: You are curious about data science and related emerging technologies with the ability to learn new tools or concepts quickly and apply them to challenges in the WASH sector.
• Basic Data Skills: You have some experience with basic data analysis tools and are excited to learn more advanced pipeline interoperability and visualization techniques.
• Creative Problem-Solving: You enjoy thinking critically and are curious how data strategies can address real-world challenges.
• Collaboration & Communication: You work well with others and are willing to strengthen your ability to communicate technical concepts to non-technical audiences.
• Ownership & Initiative: You plan work, define intermediate deliverables, manage timelines, and communicate risks or dependencies while using resources and requesting support when needed.

Requirements

• Bachelor's degree is required. Ability to clean, join, and analyze structured datasets to answer programmatic or financial questions. Ability to implement or adapt basic predictive or classification models using existing libraries, with guidance. Ability to build data pipelines between systems using APIs, scripts, or other methods as necessary Interest in learning about and working in the WASH sector.

Salary & Benefits

WVUS Pay Grade Level: 219

Estimated hiring range is: $24.04/hour - $31.58/hour

The posted hiring salary range reflects pay for U.S. locations and is determined using market data and internal compensation guidelines. Actual compensation may vary depending on the candidate’s geographic location, job-related experience, and applicable laws. A different range may apply in certain locations.

About World Vision

We're a global Christian humanitarian organization. We partner with children, families, and their communities to empower them as they reach their full potential by tackling the causes of poverty and injustice. For 75 years, World Vision has followed Jesus' example to show unconditional love to the poor and oppressed. We serve every child regardless of faith.

What Happens Next?

Due to the high volume of applications, only short-listed candidates will be contacted for an initial phone conversation with a recruiter. We encourage you to submit a PDF resume and a cover letter. Our goal is to fill this vacancy with the right person in the shortest amount of time.