The World Food Programme (WFP) 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. We are currently seeking to fill a data analyst intern position in our Data Analytics Intern of the Office of Internal Audit (Office of the Inspector General), based in Rome, Italy.
Brief description of the Office of Internal Audit, Office of the Inspector General:
The mandate of the Office of Internal Audit is:
To provide the Executive Director, through the Inspector General, with independent and objective assurance, in addition to consulting services designed to improve WFP’s operations; and,
To help WFP accomplish its objectives by bringing a systematic, disciplined approach to evaluate and suggest improvements to the effectiveness of risk management, control and governance process.
Within the Office, a Data Analytics team operates to leverage on modern techniques for information management, to improve the efficiency and effectiveness of the assurance activity.
Duties and responsibilities
- Under the direct supervision and guidance of the Data Analyst, and the Data Analytics Working Group, the Data Analytics Intern will be carrying out the following duties:
- Liaising with audit teams in order to define and document audit information needs;
- Identify data required for analysis from operational systems (e.g. SAP);
- Extract and transform data identified into a format usable for analysis;
- Develop and implement scripts for data analysis purposes and automate data validation efforts;
- Perform exploratory data analysis on specific populations, formulate and test hypothesis;
- Design and implement data visualizations;
- Assist in the identification of potential for automating and optimizing the audits performed to allow for greater accuracy or repeatability;
- Assist in the development and implementation of formal procedures and standards for the core data analytics processes;
Qualifications and experience
- Currently enrolled with at least two years undergraduate studies completed, or recently graduated (within the past six months) in one of the following disciplines: Data Science, Computer Science, Computer Engineering, Information Management, Statistics, Mathematics or a related field;
- University course attendance in the past 12 months;
- Excellent command of English; Working knowledge of a second UN language would be an asset;
- Proficiency in MS Office (Word, Excel, Power Point, Outlook);
- Technical expertise regarding data models, database design and development, data mining, exploratory analysis and cluster analysis;
- Strong programming abilities, focused on ETL implementation and data analysis;
- Knowledge of statistics and experience using statistical packages for analysing large datasets;
- Adept at queries, report writing and presenting findings;
- Knowledge of SAP, R, Python and Tableau are considered a plus;
Required soft skills/WFP Competencies:
- Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy;
- Ability to understand key economic issues;
- Comfortable in a rapidly changing environment, with competing and shifting priorities;
- Strong communication skills;
- Strong programming skills;
Working Languages Working knowledge of English (proficiency/level C) is required.