Associate Data Specialist
Organizational Context
The UN Resident Coordinator Offices (UN RCO) support countries in achieving development priorities and SDGs, operating under the UN Secretariat's Development Operations Coordination Office (DCO). This role, situated within the UN RCO in Jakarta, Indonesia, supports the UN Country Team (UNCT) in advancing evidence-based decision-making for the UN Sustainable Development Cooperation Framework.
Job Purpose
This role supports the UN Resident Coordinator (RC) and UN Country Team (UNCT) in Indonesia to enhance evidence-based decision-making for the implementation of the UN Sustainable Development Cooperation Framework (CF). It involves collaborating with government counterparts and spans data management, analytics, strategic partnerships for data and research, monitoring, reporting, and knowledge management. The position aims to accelerate the achievement of Sustainable Development Goals (SDGs) in Indonesia by optimizing statistical efficiency and quality through effective database development, data collection systems, and analytics. The incumbent will interact with internal and external stakeholders to exchange information and best practices, contributing to the UN 2.0 shift anchored in data and digital innovation.
Responsibilities
Implement and maintain databases, data collection systems, and analytics strategies to optimize statistical efficiency and quality. Analyze trends and patterns using statistical methods, identifying key features and variables. Acquire, clean, and manage data from various sources, implementing process improvements for data analytics tasks. Develop monitoring, evaluation, and learning (MEL) products for UN Sustainable Development Cooperation Frameworks. Co-design digital tools and dashboards with national partners to track SDG progress. Create reports, dashboards, and visualizations to communicate findings effectively to management and stakeholders. Track progress on data initiatives and gather business requirements to support data-driven analysis. Integrate monitoring milestones and evidence streams into data pipelines. Stay updated on data analytics best practices and technologies. Contribute to capacity building activities on data analytics for staff and partners. Assist with data preparation, verification, and routine reporting tasks.
Work Experience
A minimum of two years of progressively responsible experience in data manipulation and analysis, including foundational concepts like data structures and statistical methods, is required. Experience with the data life cycle (collection, wrangling, analysis, visualization, reporting) is desirable. Knowledge of database management, data quality assurance, SQL, and programming languages (Python, R) is also desirable.
Skills
Professionalism (strategic and analytical thinking, collaboration, data validation, research, problem-solving), Communication (clear speaking and writing, active listening, effective tailoring of messages), Technological Awareness (understanding and applying technology, willingness to learn new technologies).