Statistical Data Modeller/Analyst

Deadline 23.07.2024

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

The role involves working 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 advance statistical methodology, co-ordinate statistical and data-related activities. 

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You will have a chance to

  • Analyse data models, contrast them with statistical and technical guidelines (SDMX and others)
  • Develop and draft modelling methodology notes for non-experts
  • Propose models that fit; author SDMX artefacts to represent structures and data accordingly
  • With third-party partner organisations (typically, national statistics offices), carry out analysis, design, training, and support activities in data modelling
  • Develop a quick understanding of use-cases and contexts
  • Participate in drafting or reviewing functional specifications, mediate between data-producers and solutions developers, perform user acceptance testing of open-source and closed-source statistics and data solutions

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

Deadline 23.07.2024

Please note that recruitment for this position is an ongoing process and may close early

Apply Here