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Data Analyst

United Nations High Commissioner for Refugees

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Job Description

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Description

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The Data Analyst will be expected to support and provide technical inputs during the methodological development and lessons learned phases of both projects. The Data Analyst will play a key role together with other data analysts, survey specialists, statisticians and sampling specialists, as well as the UNHCR country and regional teams in producing analytical outputs and support the data collection for each implementing country. The Data Analyst will work closely with the Survey Specialists to outline and complete descriptive reports for the surveys conducted. In doing so, the incumbent will contribute to the development of reproducible scripts to clean, transform, analyse and produce tabular reports, and other key outputs of the data collection. The same will become part of the documentation of the survey series and available to be replicated or adapted in different countries. The assignment will require close coordination with team members, as well as the data collection partners and other stakeholders. The Data Analyst will also contribute to quality control and other analytical needs in the survey lifecycle, as needed.
Duties and responsibilities:
  • Contribute to the oversight and quality assurance of the data collection process from the data aspect. Ensure that these are carried out in full accordance with technical/design requirements and quality control specifications.
  • Contribute to the development of the survey dashboard to monitor sample completeness, data quality and interviewer performance.
  • Contribute to the review of data quality, as needed. 
  • Contribute to the development of data processing procedures and to coding of scripts. This procedure includes creation of processing and analysis level datasets and data tables, data cleaning, table and variable transformations and initial data documentation, such as variable and value labels.
  • Contribute to the outline for survey reports, based on good practices from other survey series, together with team members.
  • Generate tables and other output for reports. 
  • Use GIS techniques and software to support sampling or visualise results.
  • • Contribute to the design of a reproducible system and processes for standardised generation of tables and other output that can be applied to future surveys in the series.
  • Contribute to the anonymization and documentation of the survey microdata for public use through UNHCR’s microdata library. 
  • Contribute towards the development of survey database management system and development of protocols to interact with UNHCR’s corporate databases and registration systems.
  • Other research and analysis, as needed.
  • Assist in the organization and/or delivery of FDS- or RMS-relevant workshops.
Monitoring and Progress Controls:
Analytical dataset preparation:
  • Deliver finalised dataset ready for analysis for 1 FDS country
  • Contribute to dataset preparation for at least 1 RMS country 
  • Contribute to the development of Quality Assurance protocols and scripts
  • Assist with quality assurance
  • Collaborate with survey specialists and curator service to document and prepare microdata for release 
Contribute to analysis for internal and external reporting: 
  • Visualize and report data findings creatively in a variety of formats
  • Support development of various information products such as technical notes as well as brochures and briefs 
  • Support the communication team with the enhancement of the FDS webpage and of data-driven communication outputs to make accessible and disseminate the new evidence 
Promote the use of data:
  • Contribute to delivery of high-profile analytical products, in consultation with the relevant operational teams, including field operations
Contribute to the overall strategic reshaping of survey landscape in UNHCR:
  • Input into the development of the UNHCR global strategy document on reshaping the organization’s survey landscape 
Qualifications and Experience:
Education:
  • University Degree (Bachelors, Master’s or PhD equivalent) in Statistics, Economics, Demography, Quantitative Social Sciences, or related field.
Work Experience:
  • Minimum 3 years of Experience with Bachelors degree (or 2 years with Masters or 1 year with PhD) in data management, cleaning, processing, and applied analysis of quantitative household survey data using statistical software or computer/programming languages either in Stata, or R.
  • Good command of basic statistical principles and experience in processing and transforming survey-based data. 
  • Experience with computer assisted personal interviewing (CAPI) software an asset.
  • Experience with GIS software an asset.
  • Experience with visualization software like PowerBi, Tableau an asset. 

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