Sap Master Data Analyst (French, Python/SQL) Remote

EPAM Systems Inc

Murcia

A distancia

EUR 36.000 - 48.000

Jornada completa

Hace 11 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

IQVIA is seeking a Data Analyst (French Native Speaker) skilled in Python and SQL, to join a Madrid-based team with remote options in Spain. The role focuses on data analytics for complex business problems, delivering insights to decision makers and supporting internal project teams and client engagements.

Candidates should have 1-3 years of experience with pharmaceutical data, be proficient in Excel, PowerPoint, Word, Access, SQL, PowerBI, and Python, and work well across organizational

Formación

  • Bachelor's degree required.
  • 1-3 years of experience with pharmaceutical data.
  • Proficient in Excel, PowerPoint, Word, Access; SQL, PowerBI, Python.

Responsabilidades

  • Under guidance, performs basic quantitative or qualitative analyses to support solutions for internal or external teams.
  • Identifies and interprets trends and patterns in datasets.
  • Creates specifications for reports and analyses based on business needs and data elements.
  • Produces datasets and reports for analysis using IQVIA tools.
  • Verifies data for accuracy and completeness.
  • Transforms data to optimize analyses.
  • Performs audits to ensure conformance with procedures.
  • Works with stand-alone data systems or enterprise-wide tools.

Conocimientos

French language
Data analysis
SQL
Python
Excel
PowerBI

Educación

Bachelor's Degree

Herramientas

IQVIA tools
PowerPoint

Descripción del empleo

IQVIA is seeking a Data Analyst (French Native Speaker) skilled in Python and SQL, to join a Madrid-based team with remote options in Spain. The role focuses on data analytics for complex business problems, delivering insights to decision makers and supporting internal project teams and client engagements.

Candidates should have 1-3 years of experience with pharmaceutical data, be proficient in Excel, PowerPoint, Word, Access, SQL, PowerBI, and Python, and work well across organizational

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