Data modeler

• Country: Rome, Italy
• No of vacancies: N/A
  
• Salary: N/A 
• Organization: FAO
• Gender: Both 
• Deadline: 2024-01-28

Tasks and responsibilities

Consultants and PSA subscribers will contribute to and/or take responsibility for one or more of the following tasks:
•    Implement all of the necessary steps for the dissemination workflow according to the business architecture.
•    Analyze data sources and work closely with FAO data producers and data quality assurance team to harmonize and integrate data into the SDW.
•    Model statistical datasets and produce SDMX artefacts (Concept schemes, Data Structure Definitions, Code lists, etc.) according to the data producers’ requests until signoff.
•    Apply SDMX guidelines and best practices and re-use SDMX artefacts developed by other organizations in the FAO data context whenever possible.
•    Develop standard routines for data transformation to facilitate the migration of statistical databases to the SDW and support the centralized dissemination workflow,
•    Ensure that disseminated data and metadata outputs are of high-quality and in compliance with statistical standards and data producers’ requirements.
•    Support data reporting from the FAODATA Explorer data dissemination platform to other platforms.

CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING

Minimum Requirements

•    University degree in Statistics, Data Sciences, Computer Sciences, Data Management or related disciplines
•    At least three years of years of relevant experience in the development of relational and multidimensional data models for the integration of complex databases.
•    Working knowledge (level C) of English and limited knowledge (level B) of another of the languages (Arabic, Chinese, French, Russian, Spanish) are required. For PSA subscribers only working knowledge of English is required.

FAO Core Competencies

•    Results Focus
•    Teamwork
•    Communication
•    Building Effective Relationships
•    Knowledge Sharing and Continuous Improvement

Technical/Functional Skills 

•    Extent of knowledge and relevant experience in the use of SDMX-compliant tools and data analysis software packages, in particular R and/or Python.
•    Extent of knowledge of and relevant experience in data modelling methods and best practices using SDMX technical standards, statistical guidelines and IT tools
•    Extent of knowledge of and relevant experience in projects related to migration from complex databases to new data dissemination platforms, including harmonization and integration activities.
•    Knowledge of the.StatSuite platform and SDMX-compliant data dissemination portals will be an asset.
•    Familiarity with the FAO Statistics and Data Quality Assurance Framework will be an asset.
•    Ability to work independently, with minimum supervision.

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