• Work with the QABI team to support clients and deliver solutions in line with the requirements gathered. Data mining and converting raw data into meaningful and actionable business analysis and insights that will enable upper management to make proactive decisions. Delivering analysis, insights and reporting will influence business strategy and decisions. Documenting QABI solutions in line with pre-defined templates inclusive of job aids, etc.

• Education: Applicants must meet one of the following requirements: a) Be enrolled in, or have completed, a graduate school Programme (second university degree or equivalent, or higher) in data science, statistics, mathematics, public administration, Human Resources or Administration, business management, information technology, or related field; or b) • Be enrolled in, or have completed, the final academic year of a first university degree programme (minimum Bachelor’s level or equivalent) in data science, statistics, mathematics, public administration, business management, information technology, or related field. • Work experience: No working experience is required to apply for the United Nations Internship Programme. Your training, education, advance course work or skills should benefit the United Nations during your internship. • Special Skills: Proficiency in Microsoft Office applications such as Microsoft Word, Power Point and Excel is required. • Proficiency in standard office automation equipment is required. • Knowledge of Programing languages in SQL, R,Python or similar languages to manipulate data is required. • Proficiency in data manipulation, analytics, and visualization skill-set as well as ability to source, clean and manipulate data from databases (SQL server, CSV, and other data sources is desirable. • Languages • English and French are the working languages of the United Nations Secretariat. For this internship programme, fluency in oral and written English is required. Knowledge of another official United Nations language is desirable. • Competences • Professionalism: Knowledge of advanced studies in data science including data manipulation, analytics, and visualization as well as ability to source, clean and manipulate data from databases (SQL server, CSV, and other data sources. Ability to use for data visualization such as Excel, Power BI to produce meaningful dashboards and be able to mine data and convert it into applicable insights. Shows pride in work and in achievements. Demonstrates professional competence and mastery of subject matter. Is conscientious and efficient in meeting commitments, observing deadlines and achieving results. Is motivated by professional rather than personal concerns. Shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. • Teamwork: Works collaboratively with colleagues to achieve organizational goals. Solicits input by genuinely valuing others’ ideas and expertise; is willing to learn from others. Places team agenda before personal agenda. Supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position. Shares credit for team accomplishments and accepts joint responsibility for team shortcomings. • Planning & Organizing: Develops clear goals that are consistent with agreed strategies. Identifies priority activities and assignments; adjusts priorities as required. Allocates appropriate amount of time and resources for completing work. Foresees risks and allows for contingencies when planning. Monitors and adjusts plans and actions as necessary. Uses time efficiently

All candidates who wish to join the United Nations in the aforementioned capacity should apply online at the online portal link below.