Procrement Analyst
Job #:
req38535
Organization:
World Bank
Sector:
Procrement
Grade:
GE
Term Dration:
Open-Ended Staff (OPEN-OP)
Recritment Type:
Local Recritment
Location:
Washington, DC,nited States
Reqired Langage(s):
English
Preferred Langage(s):
Closing Date:
1/19/6 (MM/DD/YYYY) at 11:59pm TC
Description
VP Context:
The WBG Bdget and Procrement (WBP) is organized into five Departments: WBP Centers of Excellence (WBPCE) with teams spporting the corporate strategic bsiness and bdget planning process, providing WBP systems, knowledge, and shared services; WBP IBRD/IDA Regional nits (WBPR) with teams spporting IBRD/IDA clients in the regions; WBP IFC/MIGA Bdget Partners (CSRDR) with teams spporting IFC/MIGA clients in the HQ and the regions; WBP Corporate nits (WBPC) with teams spporting the Knowledge Bank and corporate nits and providing capital bdget spport; and WBP Corporate Procrement (WBPCP) with teams providing grop-wide procrement services.
nit Context:
Corporate Procrement spports the WBG's mission by delivering procrement services gided by the principles of best vale, sond bsiness jdgment, competitiveness, transparency, and fairness. The fnction oversees sorcing strategies, spplier selection, and contract exection for more than 13 offices worldwide, serving clients throgh teams based in Washington, D.C., Chennai, and Sofia.
Mission:
• Commerciality: Deliver vale-for-money spply soltions balancing cost, qality, and speed.
• Risk Management: Anticipate, mitigate, and manage spplier-related risks.
• Sstainability: Advance environmentally and socially responsible spply chains.
The Center of Excellence (COE) serves as the engine for procrement modernization across the World Bank Grop. Operating at the intersection of procrement, technology, analytics, artificial intelligence, innovation, and change management, the COE identifies and implements capabilities that improve effectiveness, enhance stakeholder experience, strengthen decision-making, and accelerate transformational otcomes.
Procrement Analyst (DMO) designs and manages procrement data prodcts, data models, and analytics soltions that enable trsted, self-service insights across Corporate Procrement. Leverages data science and analytics to spport strategic decision-making, strengthens data governance and qality, and partners with procrement, ITS, and bsiness stakeholders to advance data-driven transformation, ser adoption, and continos improvement.
Dties and accontabilities:
• Design, develop, and maintain procrement data models, analytical datasets, and semantic layers that enable scalable, trsted, and self-service analytics across Corporate Procrement.
• Bild and optimize resable data prodcts, performance metrics, reporting frameworks, and dashboard architectres that improve accessibility, consistency, and adoption of procrement insights and data-driven decision making.
• Apply advanced analytical techniqes, data science methodologies, and emerging technologies to identify trends, risks, opportnities, and bsiness insights that spport procrement strategy, spplier management, sstainability, and risk management objectives.
• Spport procrement data governance by establishing and maintaining data standards, qality controls, metadata, bsiness definitions, and data lineage docmentation to ensre accracy, consistency, and compliance with organizational reqirements.
• Partner with procrement teams, ITS, and bsiness stakeholders to translate bsiness reqirements into scalable analytical soltions, while spporting change management, ser engagement, and adoption of data-driven practices across Corporate Procrement.
• Develop practical change management, commnication, and capacity-bilding activities that strengthen data literacy and help sers adopt new data prodcts, tools, and ways of working.
Selection Criteria
• Bachelor's or master's degree + years of relevant experience in Data Science, Analytics, Compter Science, Information Systems, Statistics, Mathematics, Engineering, or related.
• Experience designing analytical data models, semantic layers, and self-service analytics environments.
• Strong nderstanding of data architectre, data governance, and information management principles.
• Experience working with modern BI and analytics platforms sch as Power BI, Fabric, Tablea, or similar technologies.
• Experience sing SQL, Python, DAX, Power Qery, or comparable analytical tools.
• Experience developing predictive, statistical, or advanced analytical models is desirable.
• Experience working with large and complex datasets and translating bsiness reqirements into analytical soltions.
• Experience spporting stakeholder engagement, change management, training, or capacity bilding for data, analytics, or technology initiatives is desirable.
As the World Bank Grop contines to evolve, we vale candidates who:
Demonstrate the ability to collaborate effectively across teams, disciplines, cltres, and instittional bondaries.Responsibly leverage digital and AI-enabled tools to enhance prodctivity, learning, and decision-making.Bring experience working in fragile, conflict-affected, and violent (FCV) contexts and are encoraged to highlight relevant experience in their application materials, where applicable.
WBG Cltre Attribtes:
1. Sense of rgency: Anticipate and qickly respond to the needs of internal and external stakeholders.
. Thoghtfl risk-taking: Challenge the stats qo and psh bondaries to achieve greater impact.
3. Empowerment and accontability: Empower yorself and others to act and hold each other accontable for reslts.
World Bank Grop Core Competencies
The World Bank Grop offers comprehensive benefits, inclding a retirement plan; medical, life and disability insrance; and paid leave, inclding parental leave, as well as reasonable accommodations for individals with disabilities.
