Business Analytics Assistant

Context

UNMISS was established in 2011 under the auspices of the UN Department of Peacekeeping Operations (DPKO); subsequently, UNMISS mandate has been renewed through resolutions 2057 (2012), 2109 (2013), 2155 (2014), 2187 (2014), 2223 (2015), 2241 (Dec. 2015), 2304 (2016) and 2327 (2016), 2392 (Dec. 2017), 2406 (Mar. 2018).

Task description

Under the direct supervision of the Chief BACS, the UN Volunteer will undertake the following tasks:

• Support the preparation and implementation of the section’s work plan primarily on business analytics, and secondarily on enterprise risk management;
• Assist in the preparation of analytical reports and presentations on strategic service delivery issues, including data gathering and analysis, identification of gaps and issues, and analysis of data as basis for making sound policy and operational recommendations;
• Support the planning and conduct of various data collection methods, including web-based surveys, designing questionnaires; reviewing, analyzing and interpreting survey responses; identifying problems, issues and preparing well substantiated conclusions and recommendations for improvement in service delivery;
• Assist in the design and development of business analytics dashboards and similar tools, and in the monitoring and analysis of risks identified in the risk register;
• Support follow-up actions as required on business analytics projects and analytical reports, and risk monitoring and assessments, focusing on remedial actions that may have to be taken by the relevant sections, and/or policies that have to be adopted by senior management; Participate in meetings and learning activities related to business analytics and enterprise risk management;
• Carry out any other related duty that may be assigned by the supervisor.

Skills and experience

• At least 3 years of work experience in business and data analysis, including developing business intelligence requirements, dashboards, data transformation and visualization;
• Proficiency in Microsoft Power BI.

Languages

• English, Level: Fluent, Required

Source: https://app.unv.org/opportunities/1775452169706752