Data Analytics Officer

World Bank Group•Washington, DC

8d•Onsite

About The Position

At the World Bank, a member of the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives. For more information, visit https://www.worldbank.org/en/who-we-are/ibrd At the Multilateral Investment Guarantee Agency (MIGA), a member of the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives. MIGA’s guarantees help mitigate risks. In fiscal year 2026, the WBG Guarantee Platform delivered a total of $17.8 billion in guarantees. For more information, visit https://www.miga.org/ MIGFR is seeking a Data Analytics Officer to support the strengthening of MIGA’s Data and Analytics function. The role will enable the effective integration, management, and use of operational, financial, and risk data to enhance decision-making across the Agency.

Requirements

Master’s degree in Data Science, Finance or any other relevant disciplines and at least 4-8 years of relevant experience.
Strong data management, analytical skills, with the ability to interpret complex data and provide actionable business insights
Experience in data governance, data management, and business intelligence development
Demonstrated ability to perform advanced analytical work and develop intuitive data visualizations, dashboards, and reports that effectively communicate insights to management.
Knowledge and experience of artificial intelligence/data science/machine learning techniques and tools
Excellent communication and interpersonal skills, with the ability to engage and influence senior management, technical teams, and external partners.
Strong organizational skills, ability to multi-task, and attention to detail while maintaining a clear sense of business priorities.
Ability to articulate complex technical/data concepts to non-technical stakeholders and facilitate organization change by building consensus and resolving challenges

Nice To Haves

Demonstrate the ability to collaborate effectively across teams, disciplines, cultures, and institutional boundaries.
Responsibly leverage digital and AI-enabled tools to enhance productivity, learning, and decision-making.
Bring experience working in fragile, conflict-affected, and violent (FCV) contexts and are encouraged to highlight relevant experience in their application materials, where applicable.

Responsibilities

Support the implementation and continuous enhancement of MIGA’s Data Governance Program, including data quality standards, data classification protocols, metadata management practices, and data stewardship procedures
Maintain and improve MIGA's data repositories and reporting datasets, ensuring completeness, timeliness, and consistency in line with governance standards.
Develop and maintain a centralized data inventory and data dictionary across core MIGA datasets
Support the development and enhancement of business intelligence tools and reporting solutions to strengthen decision-making across the organization
Produce analytical briefs, background papers, dashboards, and data visualizations that synthesize complex datasets into accessible insights for management
Drive the adoption of advanced analytics, business intelligence, and digital tools to enhance operational effectiveness and risk insight
Collaborate with internal and external stakeholders to translate business needs into data and analytic solutions
Support integration of data across MIGA systems and platforms to enable consistent and scalable reporting