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

Prima; Madrid; A distancia; EUR 36.000 - 52.000; Jornada completa

Descripción de la vacante

Prima is seeking a Data Analyst fluent in French to work remotely from Spain. The role requires Python and SQL proficiency, strong data analysis skills, and experience with Microsoft tools. A Bachelor's degree and 1–3 years of pharma data experience are preferred.

The position is full-time and remote, with responsibilities including data interpretation, report specifications, and data quality audits across datasets and projects.

Formación

• Bachelor's degree required.
• 1–3 years of 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 development of solutions for internal or external client project teams.
• Identifies and interprets trends and patterns in datasets.
• Creates specifications for reports and analysis based on business needs and data elements.
• May directly produce datasets and reports for analysis using existing IQVIA tools.
• Verifies data for accuracy and completeness.
• May manipulate and transform data to optimize analyses.
• Performs audits of own work or that of others to ensure conformance with procedures.
• May work with stand-alone data systems or enterprise-wide tools supporting inquiries, data validation, and trend analysis.

Conocimientos

Data analysis

SQL

Python

PowerBI

French

Educación

Bachelor's Degree

Herramientas

Excel

PowerPoint

Word

Access

Descripción del empleo

Prima is seeking a Data Analyst fluent in French to work remotely from Spain. The role requires Python and SQL proficiency, strong data analysis skills, and experience with Microsoft tools. A Bachelor's degree and 1–3 years of pharma data experience are preferred.

The position is full-time and remote, with responsibilities including data interpretation, report specifications, and data quality audits across datasets and projects.