World Vision is Hiring 17 Statistical Modellers in Various Locations – Work On-Site or Remotely

,World Vision, a global leader with over 75 years of dedicated service, is expanding its team to include a highly skilled Statistical Modeller. The organization is committed to overcoming poverty and promoting the well-being of vulnerable children across the world, guided by its Christian faith and a passion for impactful change. This is a unique opportunity for seasoned professionals in statistical modelling to contribute to meaningful development work by analyzing complex data and shaping strategies that transform lives.

Global Opportunities with Flexible Locations

The role offers flexibility in location, with options for remote work and placements in key regions worldwide. Current openings include positions in the Philippines (home working), El Salvador (home working), South Africa (home working), and in field offices across Santiago, Chile; Guatemala; Uganda; Brazil; Honduras; Colombia; Mexico; Dominican Republic; Costa Rica; Bolivia; and Kenya. Whether candidates prefer to work from a specific country or remotely, World Vision welcomes applications from qualified professionals around the globe.

Position Overview

The Statistical Modeller will play a crucial role in designing and implementing sophisticated statistical models to analyze Annual Impact Measurement (AIM) data. This data provides vital insights into the effectiveness of programs targeting the most vulnerable children. By extracting meaningful patterns and relationships within large datasets, the modeller will inform strategic decisions at both global and local levels, ultimately helping to maximize impact.

Core Responsibilities

The primary focus of the role is to analyze large, complex datasets derived from AIM surveys using advanced statistical techniques such as regression analysis, generalized linear models (GLM), causal inference, and propensity score matching. Responsibilities include:

• Conducting exploratory data analysis to understand dataset structure.
• Cleaning and preprocessing data to ensure accuracy and consistency.
• Performing hypothesis testing guided by sector leads and programmatic stakeholders.
• Applying advanced models to identify impact drivers and meaningful insights.
• Developing predictive models, such as time series analysis, to forecast trends.
• Collaborating with data analysts within the AIM team to share insights and address data challenges.

In addition to analysis, the modeller will develop and maintain dashboards and reports that communicate findings clearly to diverse audiences. This involves designing interactive, user-friendly dashboards, drafting concise reports, and updating these tools regularly with new data. The role also requires translating complex statistical insights into accessible narratives, supporting stakeholders through workshops, training, and comprehensive documentation.

Qualifications and Skills

Candidates should possess a minimum of 6-8 years of experience in statistical modelling, with a proven ability to deliver actionable insights. A Master’s or Ph.D. in Statistics, Data Science, Economics, or a related quantitative field is required. Proficiency in statistical programming languages such as R or Python, along with expertise in SPSS, is essential. Familiarity with data visualization tools like Power BI, survey design, and data collection platforms such as KoboToolbox is highly desirable.

Key skills include:

• Strong understanding of causal inference techniques.
• Excellent problem-solving and attention to detail.
• Ability to communicate complex findings clearly to both technical and non-technical audiences.
• Fluency in English, both written and verbal.
• Willingness to travel up to 15% of the time.

Preferred Qualifications

While not mandatory, candidates with knowledge of machine learning techniques, impact measurement frameworks, and survey methodology will have an advantage. Experience with data quality assurance and a solid grasp of impact evaluation principles will further enhance a candidate’s fit for this role.

Join a Mission-Driven Organization

Working with World Vision means contributing to a global movement that strives to improve the lives of children and their communities. As part of the team, the Statistical Modeller will help shape impactful programs by providing robust data analysis and insightful recommendations. The organization’s commitment to diversity and inclusion ensures an equitable environment where different perspectives are valued.

Application Process

Interested professionals are encouraged to apply through the official World Vision careers portal before the deadline on July 18, 2025. The application will require a detailed resume highlighting relevant experience, a cover letter, and supporting documents demonstrating expertise in statistical modelling and data analysis.

Be Part of Transformative Change

This position offers a rewarding chance to leverage advanced statistical skills to make a tangible difference in the lives of vulnerable children across the globe. With flexible location options and a collaborative environment, World Vision invites qualified candidates to join its mission of creating lasting impact through data-driven strategies.

For more information and to submit an application, interested applicants should visit the World Vision careers page

Stay Connected with Us!

Click the Following links to join: WhatsApp Group/ Telegram Channel/ Facebook Page

Also Read

• World Bank Hiring: Program Assistant (Various Locations)
• Work as a Senior Investment Officer at IFAD (Multiple Locations)
• UNICEF Innovations Internship: Remote/Home-based (Multiple Openings)
• Work from Home as a Programme Management Advisor (Homebased Retainer) with UNOPS
• Plan International Hiring: Project Specialist (Gender and Women’s Economic Empowerment)

The post World Vision is Hiring 17 Statistical Modellers in Various Locations – Work On-Site or Remotely appeared first on Scholarly Africa.

,

World Vision, a global leader with over 75 years of dedicated service, is expanding its team to include a highly skilled Statistical Modeller. The organization is committed to overcoming poverty and promoting the well-being of vulnerable children across the world, guided by its Christian faith and a passion for impactful change. This is a unique …

The post World Vision is Hiring 17 Statistical Modellers in Various Locations – Work On-Site or Remotely appeared first on Scholarly Africa.

,ScholarlyAfrica.com is an online platform dedicated to connecting job seekers with international and global career opportunities, particularly focusing on roles within esteemed organizations such as the United Nations and various other international entities. The platform serves as a comprehensive resource for individuals aspiring to advance their careers in the global job market. In addition to job listings, ScholarlyAfrica.com offers valuable career tips, insights, and resources to help candidates enhance their applications, prepare for interviews, and navigate the complexities of international employment. By fostering a community of diverse professionals, the platform aims to empower users to seize opportunities and build impactful careers across borders.