Data Management Associate

Deadline for Applications
February 24, **
Hardship Level (not applicable for home-based)
A (least hardship)
Family Type (not applicable for home-based)
Family
Staff Member / Affiliate Type
National Expert UN Volunteer
Target Start Date
**
Terms of Reference
Mission and objectives: UNHCR works to ensure that everybody has the right to seek asylum and find safe refuge, having fled violence, persecution, war or disaster at home.
Since **, UNHCR has provided support in the face of multiple crises globally, and provided vital assistance to refugees, asylum-seekers, internally displaced and stateless people, many of whom have nobody left to turn to.
UNHCR helps save lives and build better futures for millions forced from their homes.
Assignment context:
The position is part of the Data, Identity Management and Analysis (DIMA) unit and is directed supervised by the Assistant Registration and Identity Management Officer.
The unit supports the entire operation with registration, data and information management projects.
The unit oversee the entire data life cycle and the implementation of the data governance strategy.
The UN Volunteer incumbent will work closely with different actors ranging from senior management, technical staff both a national and regional level, UN agencies, government actors and NGO focal persons.
The position demands high technical skills, background experience with managing and manipulating data from different sources and formats, as well as political and stakeholder's awareness, coupled with strong time-management and organizational abilities in order to meet multiple and competing deadlines.
Task description:
Under the direct supervision of the Assistant Registration and Identity Management Officer, The UN Volunteer will undertake the followings duties and responsibilities:
- 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), ensuring adhesion of UNHCR data storage and curation principles, including documentation.
- Storage and processing of administrative records, registration and case management data, surveys and other secondary data, ensuring the processing of any data necessary to achieve the priorities of the operation and ensuring timely and accurate data availability for analytical and operational use.
- Design, develop, and maintain Extract, Transform, Load (ETL) processes and data pipelines that integrate multiple data sources into centralized systems.
- Promote technical and innovative solutions to improve data processes and provide the necessary quality assurance and technical support for statistical and data analysis.
- Design and maintain reporting platforms for results indicators monitoring.
- Collaborate with Monitoring and Evaluation (M&E) activities to align data systems with performance indicators and reporting requirements.
- Provide training, as necessary, to UNHCR staff as well as staff-members of implementing partners in relevant aspects of data management.
- May be required to support registration activities including Profile Global Registration System (proGres) technical support and on-site assistance.
- Strong attention to detail and commitment to data accuracy and quality.
- Effective communication skills, both written and verbal, with the ability to translate technical concepts to non-technical stakeholders.
- Ability to work independently, manage time effectively, and meet deadlines within a consultancy framework.
- Perform other related duties as required.
Required education: Bachelor degree or equivalent
Area(s) of specialization (education): Data Science, Engineering, Information Technology.
Required experience: 7 years of relevant work experience.
Required skills and experience:
- Essential:
- Strong experience with ETL tools - design and build pipelines.
- Proficient in data manipulation languages - Clean, transform, and enrich data.
- Experience with Application Programming Interfaces APIs and web services.
- Knowledge of data modelling and database management.
- Understanding of data lifecycle and governance principles, ensuring accuracy, validation, and consistency of data.
- Understanding of different data collection methodologies.
- Experience working with partners, including host and donor Governments, humanitarian and development partners.
- Experience working with cloud data platforms.
- Knowledge of programming languages, such as Python and SQL.
- Desirable:
- Knowledge of UNHCR PRIMES tools.
- Experience with data management in developmental or humanitarian contexts.
- Understanding of the principles and