With 75 years of experience, our focus is on helping the most vulnerable children overcome poverty and experience fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our Christian faith.
Come join our 33,000+ staff working in nearly 100 countries and share the joy of transforming vulnerable children’s life stories!
Key Responsibilities:
IMPORTANT INFORMATION:
All CVs should be submitted in English.
This position is open to candidates based in countries where World Vision International is legally registered to operate.
The Data Visualization Specialist is responsible for developing and implementing sophisticated data visualization strategies to transform complex data into meaningful insights. The role also provides clarity on the latest tools and technologies in the market and how WVI can leverage them. This role directly supports World Vision International’s strategic decision-making and impact storytelling, enabling stakeholders across the organization to better understand data, recognize critical patterns, and make informed decisions that enhance operational effectiveness, donor relations, and overall mission impact.
Key Responsibilities:
Advanced Data Visualization & Strategic Reporting
Develop and manage sophisticated visualization solutions, dashboards, and executive-level reports using advanced analytics and visualization tools (Power BI, Tableau, etc.).
Create dynamic, interactive, and user-friendly visualizations that clearly articulate complex analytical insights.
Regularly refine visualization frameworks and techniques to meet evolving strategic requirements.
Ensure visualizations explicitly align with and support strategic goals such as improved program outcomes, enhanced accountability, and strengthened donor relations.
Stakeholder Engagement & Capacity Building
Partner closely with senior stakeholders, Impact Data Analysts, Data Scientists, and sectoral leaders to deeply understand visualization needs and deliver tailored solutions.
Lead training sessions and workshops aimed at elevating the organization's capability in interpreting and utilizing data visualizations.
Regularly solicit and incorporate feedback from senior stakeholders to continually enhance visualization effectiveness.
Innovation, Research & Development for Latest Visualization Techniques
Remain informed on cutting-edge visualization technologies, methodologies, and industry best practices.
Identify and pilot new visualization tools and innovative solutions, including AI-driven and automation-enhanced visualizations.
Contribute actively to organizational innovation and continuous improvement initiatives within the Impact Data Team.
Engage with industry forums and communities of practice to benchmark, share, and integrate best practices in data visualization and storytelling.
Data Integrity, Governance & Quality Assurance
Ensure data visualizations uphold high standards of accuracy, consistency, and compliance in collaboration with the Data Governance and Data Quality Assurance teams.
Implement rigorous quality checks and validations on visualization outputs to guarantee reliability and trustworthiness of the presented data.
Required Knowledge & Qualifications
Bachelor’s or Master’s degree in Data Science, Information Systems, Business Analytics, Statistics, or related quantitative discipline.
Minimum 6-8 years of professional experience in data visualization, business intelligence, analytics, or related areas.
Extensive experience in designing and developing advanced visualization solutions tailored to diverse stakeholder needs.
Experience in international NGOs or organizations with complex, multi-stakeholder environments strongly preferred.
Familiarity with datasets typical in humanitarian, development, or child-focused programming is advantageous.
Effective written and verbal communication in English.
Preferred Knowledge & Qualifications
Advanced certifications in data visualization tools (Power BI, Tableau) strongly preferred.
Expert-level proficiency with visualization tools such as Tableau, Power BI, and advanced Excel functionalities.
Strong expertise in data structures, data warehousing, ETL processes, and database querying (SQL).
Experience utilizing Python or R for advanced data manipulation and visualization.
Proven ability in strategic storytelling and executive-level reporting with data.
Exceptional analytical thinking and problem-solving skills.
Strong interpersonal and communication skills, including the ability to translate complex technical data into clear narratives for diverse stakeholders.
Demonstrated ability to influence and build capacity around data literacy within organizations.
Applicant Types Accepted:
Local Applicants Only
