The programme is normally full-time, i.e. an intern is expected to work five days per week (9:00 a.m. - 5:00 p.m.) in the department or office of the Secretariat to which he/she is assigned, carrying out his/her tasks under the supervision of a staff member - the supervisor. Our Interns work as full members of our team, pursue projects that are designed to make a significant difference in OSCM, and have opportunities to learn about the United Nations overall. (Total of 35 Hours per week).
• Daily responsibilities will depend on the individual’s background, the business unit to which he/she is assigned and the period during which he/she will undertake the internship.
• The Research Data Analyst gathers and analyzes data from various databases and sources, performing statistical and/or mathematical programming, developing reports and visual representations, developing and/or maintaining databases, and providing consultation, technical assistance, advises and assists in determining the appropriate statistical methodology to meet the needs and objectives; uses various statistical and mathematical software packages to summarize and interpret statistical results; and designs and implements study activities and process improvements.
• Supports team members with data cleaning from primary or secondary sources and maintaining databases/data systems.
• Creates simple data visualizations for internal or external use independently.
• Translates data results into written reports, or presentations to convey information to management.
• Identifies, analyzes, and interprets trends or patterns, using basic machine learning techniques, statistical methods to identify relevant features and variables in structured sources of information and data.
• Interest in contributing to identifying opportunities to implement innovative approaches and evidence-based reasoning to organizational issues and ensures cleaned data without major quality issues is used for complex analyses..
• Gathers and analyzes data from various databases and sources, performing statistical and/or mathematical programming
• Ability to assists in the development and delivery of data science solutions to better enable the planning, decision making, and implementation of organization programmes.
• Knowledge of data science, data analytics, applied mathematics, information management.
• The understanding of new data sources and process pipelines, and the ability to assist in cataloguing/documenting.
• Keen interest in analytics, information management, visualization, and performance optimization.
• Strong knowledge of data management techniques, quantitative analysis and methods.
• Knowledge of key business tools (e.g. Excel, PowerPivot, PowerPoint). Knowledge of analytics tools (e.g. Microsoft SQL, PowerBI, SAP Business Objects, Tableau, Qlik).
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