Overview
The Data Management Associate will execute operational data management for the national data ecosystem and UNHCR's Registration and Identity Management Systems. The role involves managing UNHCR Brazil data, processing various data types, and designing data integration processes.
Tasks Summary
- Execute general operational data management of the national data ecosystem (Fabric) and data from UNHCR Preparing Registration and Identity Management Systems (PRIMES) tools
- Management of UNHCR Brazil data in the UNHCR Raw Internal Data Library (RIDL)
- Storage and processing of administrative records, registration and case management data, surveys and other secondary data
- Design, develop, and maintain Extract, Transform, Load (ETL) processes and data pipelines
- Promote technical and innovative solutions to improve data processes
- Design and maintain reporting platforms for results indicators monitoring
- Collaborate with Monitoring and Evaluation (M&E) activities
- Provide training to UNHCR staff and implementing partners in data management
- Support registration activities including proGres technical support and on-site assistance
Experience Requirements
- 7 years of experience with ETL tools - design and build pipelines
- Proficient in data manipulation languages
- Experience with Application Programming Interfaces APIs and web services
- Knowledge of data modelling and database management
- Understanding of data lifecycle and governance principles
- Understanding of different data collection methodologies
- Experience working with partners
- Experience working with cloud data platforms
- Knowledge of programming languages, such as Python and SQL
- Knowledge of UNHCR PRIMES tools (desirable)
- Experience with data management in developmental or humanitarian contexts (desirable)
- Understanding of international protection and UNHCR (desirable)
- Understanding of civil registration and other national population registration systems (desirable)
- Knowledge of Microsoft Fabric (desirable)
Qualification Requirements
Bachelor's degree in Data Science, Engineering, Information Technology