Associate Data Specialist
Organizational Context
The UN Secretariat, through the Resident Coordinator System (RCS) and the Development Operations Coordination Office (DCO), supports countries in achieving the 2030 Agenda and SDGs. This reform positions the UN Development System for greater effectiveness and efficiency, emphasizing data, digital innovation, and a mission-driven culture. The Associate Data Specialist role is situated within the UN Resident Coordinator's Office in Ulan Bator, Mongolia.
Job Purpose
The Associate Data Specialist plays a crucial role in supporting the UN's mission to achieve the 2030 Agenda and SDGs by enhancing data-driven decision-making within the Resident Coordinator's Office in Ulan Bator. This position contributes to the development and implementation of robust databases, efficient data collection systems, and insightful data analytics. By collaborating with internal and external stakeholders, the specialist ensures statistical efficiency and quality, identifies trends, and supports the creation of reports and dashboards. The role is integral to the UN 2.0 shift, leveraging data to optimize development efforts and contribute to the overall effectiveness of the UN Development System at the country level, reporting to the Head of the Resident Coordinator's Office.
Responsibilities
The Associate Data Specialist is responsible for implementing and maintaining databases, data collection systems, and data analytics strategies to optimize statistical efficiency and quality. This includes acquiring and cleaning data, identifying and interpreting trends using statistical methods, and maintaining data systems. The role involves contributing to the development of reports, dashboards, and data visualization outputs to support management decision-making and communication. Additionally, the specialist will track progress on data initiatives, gather business requirements, and compile data insights for stakeholder communications. They will also assist with data collection and preliminary analysis for project tasks and model assessments, contribute to building data analytics capacity through training, and stay updated on best practices and emerging technologies in data analytics. Performing other related tasks as assigned is also part of the role.
Work Experience
A minimum of two years of progressive experience is required in translating business requirements into technical solutions. Experience in data quality assurance, data validation, data storytelling, and data visualization tools (e.g., Tableau, Power BI, R) is desirable. Knowledge of the data life cycle and project management skills are also beneficial.
Skills
• Professionalism (critical thinking, research, analysis, report writing) • Communication (clear and effective speaking/writing, active listening) • Teamwork (collaboration, valuing input, supporting group decisions) • Data Engineering & Science • Data Analysis & Interpretation • Database Management • Data Visualization