Data Analyst – French Native (Python & SQL) – Remote Spain

Hv_Json_Nombreempresa

Jaén

A distancia

EUR 30.000 - 42.000

Jornada completa

hace 36 horas
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Descripción de la vacante

IQVIA is seeking a Data Analyst fluent in French with Python and SQL skills to join our analytics team. This remote role in Spain focuses on turning complex data into clear insights for decision makers, under guidance.

You will work with pharmaceutical data, create reports, and support internal and client projects using IQVIA tools. The ideal candidate has a Bachelor's degree, 1–3 years of experience, and strong knowledge of Excel, PowerPoint, Word, Access, Power BI, Python and SQL.

Formación

  • Bachelor's degree required.
  • 1–3 years of previous professional experience, preferably with pharmaceutical data.
  • Data analysis skills and working knowledge of Microsoft tools Excel, PowerPoint, Word, Access, SQL, PowerBI, Python.

Responsabilidades

  • Under guidance, performs basic quantitative or qualitative analyses to support solutions for internal or client teams.
  • Identifies and interprets trends in datasets and prepares reports.
  • Creates specifications for reports based on business needs and data elements.
  • May produce datasets and reports using IQVIA tools.
  • Verifies data accuracy and completeness.
  • Transforms data to optimize analyses and performs quality audits.

Conocimientos

French
Data analysis
Python
SQL
Excel
Power BI
PowerPoint
Word
Access

Educación

Bachelor's degree

Herramientas

Excel
PowerPoint
Word
Access
SQL
Power BI
Python

Descripción del empleo

IQVIA is seeking a Data Analyst fluent in French with Python and SQL skills to join our analytics team. This remote role in Spain focuses on turning complex data into clear insights for decision makers, under guidance.

You will work with pharmaceutical data, create reports, and support internal and client projects using IQVIA tools. The ideal candidate has a Bachelor's degree, 1–3 years of experience, and strong knowledge of Excel, PowerPoint, Word, Access, Power BI, Python and SQL.

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