ASSOCIATE DATA SPECIALIST, NOB
Overview
The Associate Data Specialist will contribute to the development and implementation of databases, data collection systems, and data analytics to optimize statistical efficiency and quality within the UN Resident Coordination Office.
Key Responsibilities
- Implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Contribute to the identification, analysis and interpretation of trends or patterns, using statistical methods to identify relevant features and variables in structured sources of information and data.
- Implement process improvement mechanisms for data analytics tasks; acquire and clean data from primary or secondary sources and maintain databases/data systems.
- Contribute to the development of monitoring, evaluation and learning (MEL) products for UN Sustainable Development Cooperation Frameworks using approved indicators and tools.
- Contribute to the activities for integrating monitoring milestones, indicators and evidence streams into common data pipelines based on the Cooperation Framework and Funding Compact.
- Assist in UNCT statistical capacity-building by contributing to the mapping and sequencing agency‐specific technical assistance in line with Cooperation Framework.
- Assist in conducting outcome-level analysis and contribution/attribution studies using mixed methods to inform UN reporting and UN-commissioned evaluations.
- Contribute to the trainings and workshops on data analytics.
- Contribute to data preparation and preliminary analysis, support team members in data verification and routine reporting tasks, help in administrative aspects of the work plan.
- Assist with activities for monitoring, evaluation and learning cycle to support the MEL group and national counterparts—so that planning, data collection, synthesis, validation and learning loops reinforce monitoring and support national statistical processes and standards.
- Performs other duties as assigned.
Required Experience
A minimum of two (2) years of progressively responsible experience in demonstrating knowledge of foundational concepts in data manipulation and data analysis such as data structures, statistical methods, etc is required. Demonstrated Knowledge of data life cycle including data collection, data wrangling, analysis, visualization, deployment, monitoring, and reporting is desirable. Demonstrated Knowledge in database management to extract, transform, and load data from various sources is desirable. Demonstrated ability to perform quality assurance of data analysis outputs is desirable.
Qualifications
An advanced university degree (Master's degree or equivalent) in computer science, data science, analytics, statistics, applied mathematics, information management, data management, information systems, information science, economic or social sciences, or a related field is required. A first-level university degree (Bachelor’s degree or equivalent) in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.