Internship - Data Analytics, Audit Divsion
World Food Programme
Office of Internal Audit, OIGA
The mission of WFP is to end global hunger. Every day, WFP works worldwide to ensure that no child goes to bed hungry and that the poorest and most vulnerable, particularly women and children, can access the nutritious food they need.
In emergencies, WFP gets food to where it is needed, saving the lives of victims of war, civil conflict and natural disasters. After an emergency, WFP uses food to help communities rebuild their shattered lives. Present in nearly 80 countries, the organization has the global footprint, deep field presence and local knowledge and relationships necessary to provide access to nutritious food and contribute to the lasting solutions, especially in many of the world’s most remote and fragile areas.
We are seeking to fill a Data Analytics internship position in the Office if Internal Audit. The position will be based at our Headquarters in Rome, Italy.
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.
- Candidates must have completed at least two years of undergraduate studies.
- Candidates must be currently enrolled or recently graduated (in the past six months) student in one of the following disciplines: Data Science, Computer Science, Computer Engineering, Information Management, Statistics, Mathematics or a related field.
- Candidates must have attended university courses in the past twelve months.
Technical Knowledge and Skills:
- Technical expertise regarding data models, database design and development, data mining and cluster 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.
- Strong analytical skills with the ability to collect, organize, analyze, 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.
- Fluency in oral and written English.
- An intermediate knowledge of another official UN language (Arabic, Chinese, French, Russian and Spanish) or Portuguese (one of WFP’s working languages) is desirable.
Terms and Conditions
- Interns receive a monthly stipend from WFP up to the maximum amount of US$1000 per month depending on the duty station of assignment.
- WFP is not responsible for living expenses, arrangements for accommodation, necessary visas and related costs.
- WFP will reimburse travel ticket for candidates who are nationals of developing countries and are pursuing their studies in their home country.
- WFP will recognize candidates’ educational credentials from recognised institutions that have been certified by competent international or national authorities such as the United Nations Educational, Scientific and Cultural Organization (UNESCO) or Ministries of Education;
Closing date: 02 March 2018
VA reference no: 76521
Female applicants and qualified applicants from developing countries are especially encouraged to apply. WFP has zero tolerance for discrimination and does not discriminate on the basis of HIV/AIDS status.