QUALITY ASSURANCE OFFICER (DATA OFFICER) (M/F)
Descrição da oferta de emprego
The key role of the Quality Assurance Officer is to propose and design data collection tools, advise Implementation Partners on data collection, ensure data quality, perform data analysis, and design data models.
This role contributes to ensuring the Project’s programs’ effectiveness by providing information for decision making regularly and timely.
The data officer will also contribute towards weekly, monthly, quaternal and annual reporting as required Main Responsabilities.
- Develop and verify that SED data collection, recording, treatment, organization and administration methods and processes across all SED disciplines are adequate to render reliable data to inform reporting and adaptive management; - Conduct data quality analysis with MERL Leads and MERL Officers of data reported on by implementation partners; - Coordinate data collection and administration across all SED disciplines by promoting utilization of the various data collection tools and systems; - Provide spatial analyses and GIS and mapping effectiveness verification; - Ensure the necessary tools for maintaining; processing and reporting of collected data are developed; - Develop processes to build the capacity of all SED teams and cross functions to ensure confident and effective use of data collection processes and methods; - Manage and assess quality, integrity and comprehensiveness of all SED data and cross function teams and databases; - Conduct qualitative and quantitative analysis of SED data, including the identification of trends across all SED disciplines; - Develop data and report models; - Coordinating data administration, quality, analysis, and management across all SED disciplines; - Support the implementation of socioeconomic development management plans by providing critically assessed data to implementation teams; Requirements.
- Bachelor’s degree in computer/data science, statistics, economics with basic knowledge of social sciences; - 5 years’ experience in social data management, quality assurance and analysis; - Comprehensive understanding of geospatial data, GIS analysis, workflow, and data maintenance; - Familiarity with global industry best practice for environmental and social performance, requirements, and guidelines; - Ability to use data and database software effectively and creatively to meet specific goals; - Proven understanding of database design concepts, effective data storage and organization, and the benefits and limitations of database systems; - Acute awareness of the importance of data integrity and quality control.
- Effective communication in Portuguese and English;
Detalhes da oferta
- Indeterminado
- Em todo Portugal
- Indeterminado - Indeterminado
- 21/03/2025
- 19/06/2025
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