Data Analyst — French Native (Python & SQL) — Remote

agap2 Spain

Málaga

A distancia

EUR 32.000 - 48.000

Jornada completa

Hace 4 días
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Descripción de la vacante

IQVIA is seeking a Data Analyst with native French and hands-on Python and SQL experience to analyze data for internal and client projects from a Spain-based remote role.

Under guidance, you will identify trends, prepare reports, and support decision-makers. The ideal candidate has a Bachelor’s degree, 1–3 years working with pharmaceutical data, and proficiency in Excel, PowerPoint, Word, Access, PowerBI and Python.

Formación

  • Bachelor's degree required.
  • 1–3 years of professional experience with pharmaceutical data.
  • Data analysis skills and working knowledge of Excel, PowerPoint, Word, Access, SQL, PowerBI, and Python.
  • Ability to work well with others and manage time effectively.
  • Knowledge of business processes and industry context.

Responsabilidades

  • Perform basic quantitative or qualitative analyses to support internal or client projects.
  • Identify and interpret trends and patterns in datasets.
  • Create specifications for reports and analyses based on business needs and available data elements.
  • Produce datasets and reports for analysis using IQVIA tools.
  • Verify data for accuracy and completeness.
  • Manipulate and transform data to optimize analyses.
  • Audit own work and others for quality and conformance.
  • Work with stand-alone or enterprise data systems for data validation and trend analysis.

Conocimientos

Data analysis
Team collaboration
Time management

Educación

Bachelor's Degree

Herramientas

Microsoft Excel
PowerPoint
Word
Access
SQL
PowerBI
Python

Descripción del empleo

IQVIA is seeking a Data Analyst with native French and hands-on Python and SQL experience to analyze data for internal and client projects from a Spain-based remote role.

Under guidance, you will identify trends, prepare reports, and support decision-makers. The ideal candidate has a Bachelor’s degree, 1–3 years working with pharmaceutical data, and proficiency in Excel, PowerPoint, Word, Access, PowerBI and Python.

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