Senior Data Analyst - Consultant (Roma)

Senior Data Analyst - Consultant (Roma)

15 nov
|
World Food Programme
|
Roma

15 nov

World Food Programme

Roma

pbDEADLINE FOR APPLICATIONS /b /p p30 December :59-GMT+01:00 Central European Time (Rome) /p pWFP 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. /p pbABOUT WFP /b /p pThe 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 extreme weather shocks. /p pAt 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. /p pTo learn more about WFP, visit our website: and follow us on social media to keep up with our latest news: YouTube, LinkedIn, Instagram, Facebook, Twitter, TikTok. /p pbWHY JOIN WFP? /b /p ul liWFP is a 2020 Nobel Peace Prize Laureate. /li liWFP offers a highly inclusive, diverse, and multicultural working environment. /li liWFP 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. /li liA 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. /li liWe offer an attractive compensation package (please refer to the bTerms and Conditions /b section of this vacancy announcement). /li /ul h3Context and background /h3 pThe 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. /p pThe 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. /p h3Purpose and scope of these Terms of Reference /h3 pAs 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. /p pIn particular, the consultancy will support OIG in: /p ul liExtracting, cleaning, transforming, and analysing data from corporate systems and other relevant sources; /li liDeveloping repeatable analytics and dashboards to support audit and oversight work; /li liIdentifying trends, patterns, anomalies, and potential risk indicators; /li liContributing to data-enabled audit planning and fieldwork; /li liProviding technical leadership and guidance to data analysts, including review and quality assurance of analytical outputs; /li liFormulating and presenting actionable recommendations and proposals to management on the design, prioritisation, and implementation of data pipelines, analytics solutions, and audit automation initiatives; /li liStrengthening OIG’s capacity to use data analytics and digital tools in its oversight processes. /li /ul pThe consultant will work closely with OIG staff, including auditors, investigators, data analysts, and relevant business stakeholders, to support ongoing oversight engagements and strategic innovation initiatives. The incumbent will operate under the direct supervision of the Senior Professional Practices and Audit Innovation Officer. /p h3Key responsibilities (not all-inclusive, nor exhaustive): /h3 pUnder the overall supervision of the designated OIG manager, and in close coordination with relevant OIG staff, the consultant will undertake the following tasks: /p pbA.



Strategic advisory and decision support /b /p ul liProvide expert advice to OIG management on the use of data analytics in audit planning, risk assessment, and oversight strategy. /li liIdentify high-impact opportunities for expanding data-driven audit coverage and improving efficiency. /li liDevelop proposals for new analytical solutions, tools, or approaches aligned with OIG priorities. /li liContribute to the definition of OIG’s data analytics roadmap and priorities. /li /ul pbB. Data extraction, preparation and analysis: /b /p ul liPropose approaches for data extraction from relevant enterprise systems, databases, spreadsheets, and other structured or semi-structured sources. /li liAssess data quality, completeness, consistency, and reliability, and perform data cleansing and transformation as required. /li liConduct exploratory and targeted analyses to identify trends, outliers, exceptions, control weaknesses, and other issues relevant to audit or oversight engagement. /li liDevelop scripts, queries, and repeatable workflows for data preparation and analysis. /li /ul pbC. Support to audit and oversight engagements: /b /p ul liProvide recommendations on audit scope, sampling strategies, and risk-focused testing approaches based on data analysis. /li liTranslate audit questions into data analytics procedures and test logic; /li liProduce analytical outputs that support planning, scoping, testing, sampling, substantive procedures, and reporting. /li liAdvise auditors on interpreting analytical results and integrating them into audit conclusions and reporting. /li liDocument methodologies, assumptions, limitations, and results of analyses in a clear and auditable manner. /li liSupport ad hoc analytical requests from OIG management and oversight teams. /li /ul pbC. Dashboarding and visualization /b /p ul liDesign and develop complex visualizations, dashboards, and analytical products to support insight generation and communication of results. /li liEnsure dashboards are decision-oriented and aligned with management information needs. /li liAdvise on key indicators and metrics to support oversight and risk monitoring. /li liPresent analytical findings in a concise, clear, and decision-oriented manner tailored to both technical and non-technical audiences. /li liLead or drive the development of standard dashboards, indicators, and data products for recurring oversight needs. /li /ul pbD. Innovation and analytical capability development /b /p ul liAct as a subject matter expert in data analytics within OIG. /li liLead or drive the development of OIG’s data analytics approaches, tools, templates, and methodologies. /li liDefine good practices, quality standards, and reusable frameworks for analytics. /li liLeads automation and standardization of recurring extraction, transformation, and reporting tasks where feasible. /li liAdvise on good practices related to data analytics for oversight functions, including reproducibility, documentation, and quality assurance. /li liProvide knowledge transfer and practical guidance to OIG staff, as needed, to strengthen internal data analytics capability. /li /ul pbE. Coordination and compliance /b /p ul liLiaise, as required, with relevant business units, IT teams, data owners, and other stakeholders to facilitate timely access to data and clarify data structures. /li liEnsure that all work is carried out in line with applicable organizational rules, confidentiality requirements, information security standards, and data protection requirements. /li liMaintain strict confidentiality of sensitive operational, personal, and oversight-related information. /li /ul h3Deliverables /h3 pThe consultant will be expected to deliver, as applicable and depending on assignment priorities, the following outputs: /p ul liAdvisory notes, recommendations, or concept papers on data analytics applications for audit and oversight. /li liProposals for new tools, pipelines, or analytical approaches /li liInputs into audit planning (e.g., risk indicators, data-driven audit topics) /li liData extraction and transformation files/scripts for identified audit and oversight needs. /li liAnalytical datasets prepared for use by OIG teams. /li liData analysis outputs and working papers supporting specific engagements. /li liDashboards, reports, or visualizations for audit planning and execution. /li liDocumentation of methodologies, logic, assumptions, and validation steps. /li liRecommendations for enhancing OIG’s data analytics capability, tools, or workflows. /li liKnowledge-sharing sessions or practical guidance materials for OIG staff, where requested. /li /ul pA more detailed workplan with timelines and priorities will be agreed upon at the start of the assignment. /p h3Other considerations /h3 pLocally recruited, residing in the Rome area /p h3Qualifications, Experience and Skills /h3 pbEDUCATION: /b University degree in one of the following disciplines: Data Science, Computer Science, Engineering,



Mathematics, Statistics, Physics, or a related field. /p pbEXPERIENCE: /b /p ul li5 to 10, or more years of relevant professional experience as a Data Analyst, Data Scientist, and/or Data Engineer, either in a professional role or in advanced academic studies with direct Data Science applications; /li liExperience leading or supervising analytical workstreams or mentoring junior analysts. /li liDemonstrated experience in analysing large and complex datasets from ERP and corporate systems. /li liExperience designing or implementing data analytics solutions at organisational level. /li liExperience in ETL design and implementation. /li liExperience with writing scripts, database and data modelling. /li liExperience in documenting analytical methodologies and ensuring reproducibility of results. /li liExperience with WFP supply chain processes, systems and data platforms. /li liExperience with WFP identity management and food/cash transfer, systems and data platforms. /li liExperience with providing guidance and trainings of other data analysts. /li liExperience supporting internal audit, external audit, investigation, compliance, risk management, or oversight functions is highly desirable. /li liExperience in international organizations, the UN system, public sector, or other complex multi-country environments is an asset. /li /ul pbTECHNICAL SKILLS KNOWLEDGE: /b /p ul liDeep knowledge of Python and SQL. /li liFamiliarity with SAP ERP. /li liExcellent knowledge of data visualization techniques and tools (i.e. Tableau), with strong visualization skills. /li liExcellent knowledge of OLTP databases and data modelling techniques, applied to structured and unstructured sets of data. /li liExperience with SAP Datasphere, Palantir and SCOPE. /li liAbility to design and implement complex ETL processes. /li liFamiliarity with the use of AI in coding and analysing complex data sets. /li liAbility to understand key risk indicators of processes, trends, and emerging risks that could impact WFP operations. /li liUnderstanding of internal control, risk management, and audit methodology. /li liDesirable: Knowledge of AWS S3, Glue and Lambda /li liDesirable: Experience analysing data to support audit and oversight activities. /li liDesirable: Ability to write relevant parts of audit reports, or documents, and to map processes. /li /ul pbCOMPETENCIES: /b /p pThe selected consultant is expected to demonstrate: /p ul libStrategic thinking /b – ability to align analytics work with organisational priorities and oversight objectives. /li libAnalytical thinking /b – ability to interpret complex data and derive meaningful insights. /li libAdvisory and influencing skills /b – ability to translate analytical insights into actionable recommendations and influence decision-making. /li libResults orientation /b – delivers high-quality outputs within agreed timelines. /li libAttention to detail /b – ensures accuracy, consistency, and reliability of analytical work. /li libClient orientation /b – understands business and oversight needs and tailors outputs accordingly. /li libCommunication /b – explains technical findings clearly to non-technical audiences. /li libCollaboration /b – works effectively with multidisciplinary teams. /li libDiscretion and integrity /b – handles sensitive information with professionalism and confidentiality. /li libInnovation /b – identifies practical opportunities to improve processes and increase efficiency. /li /ul pbWFP LEADERSHIP FRAMEWORK /b /p pWFP Leadership Framework guides to the common standards of behavior that guide HOW we work together to accomplish our mission. /p pbClick here to access WFP Leadership Framework /b /p pbREASONABLE ACCOMMODATION /b /p pWFP is committed to supporting individuals with disabilities by providing reasonable accommodations throughout the recruitment process. If you require a reasonable accommodation, please contact: /p pbNO FEE DISCLAIMER /b /p pThe United Nations does not charge any application, processing, training, interviewing, testing or other fee in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it. Furthermore, please note that emblems, logos, names and addresses are easily copied and reproduced. Therefore, you are advised to apply particular care when submitting personal information on the web. /p pAll employment decisions are made on the basis of organizational needs, job requirements, merit, and individual qualifications. WFP is committed to providing an inclusive work environment free of sexual exploitation and abuse, all forms of discrimination, any kind of harassment, sexual harassment, and abuse of authority. Therefore, all selected candidates will undergo rigorous reference and background checks. /p pNo appointment under any kind of contract will be offered to members of the UN Advisory Committee on Administrative and Budgetary Questions (ACABQ), International Civil Service Commission (ICSC), FAO Finance Committee, WFP External Auditor, WFP Audit Committee, Joint Inspection Unit (JIU) and other similar bodies within the United Nations system with oversight responsibilities over WFP, both during their service and within three years of ceasing that service. /p #J-18808-Ljbffr

📌 Senior Data Analyst - Consultant (Roma)
🏢 World Food Programme
📍 Roma

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