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Statistical Data Modeller/Analyst

 

We are seeking a skilled Statistical Data Modeller/Analyst to join Helmes. 

You will work in a diverse team with a LEAN/Agile, continuous improvement focus, and an ambition to promote best practices for a wide range of colleagues and partners. You will help establish evidence-based international standards, and help find solutions to a range of social, economic, and environmental challenges. 

 

You are a great fit for the team with

  • A university degree in Mathematics, Computer Science, Economics, or in a related field
  • At least 3 years of working experience, ideally in database modelling, information modelling, classification or metadata management
  • Familiarity with Statistical Data and Metadata eXchange (SDMX) standard with a commitment to reach a good working level
  • Experience in a connex domain such as data warehousing, BI
  • Familiarity with linked open data and cataloguing standards: DDI, RDF, DCAT, SKOS is a bonus
  • Experience with Python and R, other scripting languages would be an asset, especially VBS, shell/PowerShell
  • Very good English language skills, both written and spoken 

What is in it for you?

  • Opportunity to work with an international client that provides a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting
  • A large degree of autonomy and a chance to take responsibility 
  • An experienced mentor who will guide you while settling in, and provide you with feedback for fast development 
  • Being part of a large group of experts
  • Hybrid or remote work is perfectly acceptable, we are open to flexibility
  • Supplementary health insurance
  • Lots of training and self-development opportunities

 

 

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