French-speaking Data Analyst (Python & SQL) – Remote

Evotym

Islas Baleares

Remote

EUR 32.000 - 46.000

Vollzeit

vor 43 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

IQVIA seeks a Data Analyst with native French language skills and strong Python & SQL experience to support data analytics for internal and client projects. You will identify trends, prepare data-driven reports, and collaborate across teams in a multicultural environment from Spain, with remote work options.

Prior pharma data experience is a plus. The role requires a Bachelor's degree and proficiency in Excel, PowerPoint, Word, Access, SQL, PowerBI, and Python, contributing to insights that

Qualifikationen

  • Bachelor's degree required.
  • 1-3 years of professional experience preferably with pharmaceutical data.
  • Fluency in French; data analysis skills and proficiency with Microsoft tools (Excel, PowerPoint, Word, Access), SQL, PowerBI, Python.

Aufgaben

  • Perform basic quantitative and qualitative analyses to support internal or client projects.
  • Identify and interpret trends and patterns in datasets.
  • Create specifications for reports based on business needs and available data.
  • Produce datasets and reports using IQVIA tools.
  • Verify data for accuracy and completeness.
  • Transform data to optimize analyses.
  • Audit own work to ensure procedures are followed.
  • Work with stand-alone data systems or enterprise tools for data validation and reporting.

Kenntnisse

French language
Python
SQL
PowerBI
Excel
PowerPoint
Word
Access

Ausbildung

Bachelor's Degree

Tools

SQL
PowerBI
Python

Jobbeschreibung

IQVIA seeks a Data Analyst with native French language skills and strong Python & SQL experience to support data analytics for internal and client projects. You will identify trends, prepare data-driven reports, and collaborate across teams in a multicultural environment from Spain, with remote work options.

Prior pharma data experience is a plus. The role requires a Bachelor's degree and proficiency in Excel, PowerPoint, Word, Access, SQL, PowerBI, and Python, contributing to insights that

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