Senior Data Analyst - Consultant

The Senior Data Analyst Consultant will provide specialized senior-level data analytics expertise to the Office of the Inspector General (OIG) at WFP. The role involves strategic advisory support, data extraction and analysis, development of dashboards, and strengthening OIG's data analytics capabilities to enhance audit and oversight activities.

Responsibilities

• Provide expert advice to OIG management on the use of data analytics in audit planning, risk assessment, and oversight strategy.
• Identify high-impact opportunities for expanding data-driven audit coverage and improving efficiency.
• Develop proposals for new analytical solutions, tools, or approaches aligned with OIG priorities.
• Contribute to the definition of OIG’s data analytics roadmap and priorities.
• Propose approaches for data extraction from relevant enterprise systems, databases, spreadsheets, and other structured or semi-structured sources.
• Assess data quality, completeness, consistency, and reliability, and perform data cleansing and transformation as required.
• Conduct exploratory and targeted analyses to identify trends, outliers, exceptions, control weaknesses, and other issues relevant to audit or oversight engagement.
• Develop scripts, queries, and repeatable workflows for data preparation and analysis.
• Provide recommendations on audit scope, sampling strategies, and risk-focused testing approaches based on data analysis.
• Translate audit questions into data analytics procedures and test logic.
• Produce analytical outputs that support planning, scoping, testing, sampling, substantive procedures, and reporting.
• Advise auditors on interpreting analytical results and integrating them into audit conclusions and reporting.
• Document methodologies, assumptions, limitations, and results of analyses in a clear and auditable manner.
• Support ad hoc analytical requests from OIG management and oversight teams.
• Design and develop complex visualizations, dashboards, and analytical products to support insight generation and communication of results.
• Ensure dashboards are decision-oriented and aligned with management information needs.
• Advise on key indicators and metrics to support oversight and risk monitoring.
• Present analytical findings in a concise, clear, and decision-oriented manner tailored to both technical and non-technical audiences.
• Lead or drive the development of standard dashboards, indicators, and data products for recurring oversight needs.
• Act as a subject matter expert in data analytics within OIG.
• Lead or drive the development of OIG’s data analytics approaches, tools, templates, and methodologies.
• Define good practices, quality standards, and reusable frameworks for analytics.
• Lead automation and standardization of recurring extraction, transformation, and reporting tasks where feasible.
• Advise on good practices related to data analytics for oversight functions, including reproducibility, documentation, and quality assurance.
• Provide knowledge transfer and practical guidance to OIG staff, as needed, to strengthen internal data analytics capability.
• Liaise, as required, with relevant business units, IT teams, data owners, and other stakeholders to facilitate timely access to data and clarify data structures.
• Ensure that all work is carried out in line with applicable organizational rules, confidentiality requirements, information security standards, and data protection requirements.
• Maintain strict confidentiality of sensitive operational, personal, and oversight-related information.

Requirements

• University degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
• 5 to 10 or more years of relevant professional experience as a Data Analyst, Data Scientist, and/or Data Engineer.
• Experience leading or supervising analytical workstreams or mentoring junior analysts.
• Demonstrated experience in analysing large and complex datasets from ERP and corporate systems.
• Experience designing or implementing data analytics solutions at organisational level.
• Experience in ETL design and implementation.
• Experience with writing scripts, database and data modelling.
• Experience in documenting analytical methodologies and ensuring reproducibility of results.
• Experience with WFP supply chain processes, systems and data platforms.
• Experience with WFP identity management and food/cash transfer systems and data platforms.
• Experience with providing guidance and trainings of other data analysts.
• Experience supporting internal audit, external audit, investigation, compliance, risk management, or oversight functions is highly desirable.
• Experience in international organizations, the UN system, public sector, or other complex multi-country environments is an asset.
• Deep knowledge of Python and SQL.
• Familiarity with SAP ERP.
• Excellent knowledge of data visualization techniques and tools (i.e. Tableau), with strong visualization skills.
• Excellent knowledge of OLTP databases and data modelling techniques, applied to structured and unstructured sets of data.
• Experience with SAP Datasphere, Palantir and SCOPE.
• Ability to design and implement complex ETL processes.
• Familiarity with the use of AI in coding and analysing complex data sets.
• Ability to understand key risk indicators of processes, trends, and emerging risks that could impact WFP operations.
• Understanding of internal control, risk management, and audit methodology.
• Desirable: Knowledge of AWS S3, Glue and Lambda.
• Desirable: Experience analysing data to support audit and oversight activities.
• Desirable: Ability to write relevant parts of audit reports, or documents, and to map processes.

Skills

• Data Analysis
• Data Science
• Data Engineering
• Data Analytics
• ETL pipeline design
• ETL Implementation
• Scripting
• Database Modelling
• Data Modelling
• Analytical Methodologies Documentation
• ERP System Analysis
• WFP Supply Chain Data
• WFP Identity Management Systems
• Audit Support
• Risk Management
• Python
• SQL
• SAP-based ERP
• Data Visualization
• Tableau
• OLTP Databases
• Datasphere on SAP
• Palantir
• SCOPE
• AI-based Data Analysis
• Internal Controls
• Audit Methodology

Languages

English