Senior Statistician
Sogeti Luxembourg SA
Müllendorf, LU
il y a 2j
source : Monster

SOGETI is looking for a Senior Statistician to join our company. As part of the BI & Analytics department composed of smart & dedicated people like yourself who make an impact with both internal and client stakeholders, you will be involved in IT projects related to data life cycle management, from our office in Bertrange or directly on client premises.

At SOGETI, consultants can work with a variety of different customers, tools and methodologies; something that would otherwise take many years to gain.

If data validation, data processing and analysis have no secret for you, then this role is for you! Your challenge / your responsibilities :

  • Analyse and improve the validation process;
  • Improve the documentation;
  • Work experience in a national statistical system or with international statistics systems.
  • Experience in the collection, compilation, analysis and dissemination of statistical data from administrative sources and surveys, statistical registers and other administrative sources.
  • Perform treatment and validation of EU data and metadata, develop and implement validation checks to improve the quality and comparability of data;
  • Be responsible of the dissemination of statistical information (draft, edit statistical texts, handles requests for information on statistical issues, give presentation in meetings);
  • Draft report about work progress.
  • Skills & Requirements Qualification / Technologies :

  • Professional experience in the domain of statistics . The field of social statistics ( Health, Education, income and living condition, labour force),
  • Experience in working with official data;
  • Good knowledge of statistical tool like SAS, SAS Enterprise Guide, STATA or R is an asset;
  • Good knowledge of Excel and database management;
  • Sound drafting capacity (study reports or publications
  • Capacity to work in autonomy;
  • Communicative, rigorous and organised;
  • Fluent in English, French or German would be an asset.
  • Education : 5+ years university degree in Economics, Statistics or equivalent; and at least 5 years of professional experience;
  • or any equivalent combination of training, education and experience that demonstrates the ability to perform the duties of the position

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