Senior Data Analyst - Consultant

Descrizione

Testo originale dell'annuncio (in inglese)

DEADLINE FOR APPLICATIONS 4 September 2026-23:59-GMT+01:00 Central European Time (Rome) WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status or disability. ABOUT WFP The World Food Programme is the world’s largest humanitarian organization saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity, for people recovering from conflict, disasters and the impact of climate change. At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves. To learn more about WFP, visit our website: https://www.wfp.org  and follow us on social media to keep up with our latest news: YouTube , LinkedIn , Instagram , Facebook , Twitter , TikTok . WHY JOIN WFP?   WFP is a 2020 Nobel Peace Prize Laureate. WFP offers a highly inclusive, diverse, and multicultural working environment. WFP invests in the personal & professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities. A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe. We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement). Context and background The United Nations World Food Programme hereinafter referred to as the “WFP”, with its Headquarters located in Rome, Italy is the leading humanitarian organization saving lives and changing lives, delivering food assistance in emergencies and working with communities to improve nutrition and build resilience by assisting almost 100 million people in around 83 countries each year. About 17,000 people work for the organization, most of them in remote areas, directly serving the hungry poor. The mission of the Office of the Inspector General (OIG) is to provide WFP’s stakeholders assurance on the adequacy and effectiveness of WFP’s governance, risk management, and control processes aimed to detect and deter fraud, waste and abuse through the conduct of independent and objective oversight activities; to conduct inspections and investigations into allegations of wrongdoing and misconduct; and to facilitate the adoption and implementation of United Nations, humanitarian agency and private-sector best practices related to assurance and oversight. Purpose and scope of these Terms of Reference As part of its efforts to strengthen innovation, enhance audit and investigation coverage, and improve the efficiency and effectiveness of oversight activities, OIG is seeking the services of a Senior Consultant – Data Analyst. The purpose of this consultancy is provide specialised senior-level data analytics expertise, including strategic advisory support to OIG management, formulation of recommendations, and identification of opportunities to enhance audit coverage, efficiency, and impact through data-driven approaches. In particular, the consultancy will support OIG in: Extracting, cleaning, transforming, and analysing data from corporate systems and other relevant sources; Developing repeatable analytics and dashboards to support audit and oversight work; Identifying trends, patterns, anomalies, and potential risk indicators; Contributing to data-enabled audit planning and fieldwork; Providing technical leadership and guidance to data analysts,