The World Bank Operations Analyst – Data Analytics Analyst position for 2025 offers an exciting opportunity to contribute to global development through data-driven decision-making. In this role, you will leverage analytical skills to support the design and implementation of projects aimed at reducing poverty and promoting sustainable economic growth.
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As a Data Analytics Analyst, you will work with diverse teams to analyze complex datasets, generate insights, and inform strategic recommendations. This position is ideal for individuals passionate about using data to drive impactful change and enhance the effectiveness of development initiatives worldwide. Join us in shaping a better future through innovative analysis and solutions.World Bank
Key tasks and responsibilities include:
• Gain a deep understanding of IFC’s Operations, Knowledge Management, Human Resources, Budget & Administration, Partnerships and Trust Fund domains to understand business requirements and deliver innovative solutions World Bank
• Create data models and implement data transformations using Alteryx/Azure/Power Query to enable advanced analytics to include leveraging Quick Insights, AI Insights, Text Analytics, NLQ and other machine learning World Bank
techniques to extract insights from data
• Design and build interactive dashboards, reports, and visualizations using Power BI desktop
• Partner with business departments in Operations (spanning Pipeline, Program, Portfolio, Upstream/Advisory, Climate, ES&G, PPP), Human Resources, Budget & Administration, Partnerships and Trust Funds to understand business requirements and deliver timely and accurate reports/analyses in response to identified needs.
• Leverage data science toolsets (Python/R) to perform data analysis, statistical modeling, and create predictive/prescriptive BI/reports and analytics World Bank
• Propose and implement data-driven solutions to optimize data management processes and systems.World Bank
• Communicate complex results to technical and non-technical audiences to enable decision-making
• Demonstrate strong interpersonal skills and desire to work in teams in fast-paced work environments
• Manage multiple concurrent projects that require inputs from stakeholders while balancing impact on business needs
• Collaborate effectively with IT for technology, tools, data engineering and platforms
• Ensure adherence to data governance policies, standards, and procedures
Selection Criteria
• Master’s degree in Business Analytics, Statistics, Economics, Information Systems, Computer Science, Data Science, Business Administration or related field with a minimum of 2 years of relevant experience in reporting, analytics, data management with preferred business process exposure to IFC operations, human resources, budget & administration, trust funds business processes; or Bachelor’s degree and a minimum of 4 years of relevant experience.
• Required working experience with Power BI, DAX and Power Query
• Required experience with programming languages such as SQL, Python, R
• Required working experience with SQL Server, Azure and Databricks
• Demonstrated ability to visualize data for effective storytelling
• Knowledge of statistical analysis, quantitative research and experience gathering and interpreting data.
• Strong analytical and problem-solving skills with a high degree of initiative and creativity
• Prior experience working with cross-functional teams and across departments in a matrix organization
• High degree of adaptability to changing requirements and a dynamic environment
• Ability to work collaboratively in a fast-paced, internationally diverse work environment; strong interpersonal skills are essential
• Excellent communication and presentation skills
• Commitment to maintain the highest ethical standards
• Preferred data collection, wrangling, and modeling experience (in tools such as Power Query, Alteryx, SQL, Microsoft Azure)
• Preferred working experience with Tableau
• Preferred knowledge and adherence to data privacy and compliance standards or industry-specific regulations
