Data Analyst (SAS/SQL) – German Speaker, Remote Spain

PowerCo SE

Córdoba

Remote

EUR 35,000 - 55,000

Full time

3 days ago
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Job summary

IQVIA is seeking a Data Analyst (SAS/SQL Programming) who can work with German-speaking clients from Spain, with Madrid-based and remote options. The role focuses on strategic analyses of longitudinal patient and prescription data, biostatistics, and collaboration with pharma BI teams to deliver insights and client-ready reports.

The candidate should have strong German and English communication skills, a life sciences/epidemiology background, and proficiency in SAS or similar statistical tools.

Qualifications

  • Completed degree in life sciences, public health, health economics, (bio)informatics, mathematics, statistics, epidemiology, or a comparable field of study.
  • Relevant experience in data analysis, biostatistics, or epidemiology & excellent knowledge of at least one statistical programming language.

Responsibilities

  • Performing strategic analyses (recurrent and ad hoc) to derive trends, conclusions, and actionable recommendations for clients on qualitative and quantitative data.
  • Evaluating secondary data on markets, physicians, pharmacists, patients, and competitive products.
  • Working in close collaboration with our top pharma client's business intelligence units.
  • Creating reports, presentations, and other client deliverables.

Skills

SAS programming
Data analysis
Biostatistics
Analytical thinking
Communication

Education

Life sciences / health economics / biostatistics degree

Tools

SAS
Excel
PowerPoint

Job description

IQVIA is seeking a Data Analyst (SAS/SQL Programming) who can work with German-speaking clients from Spain, with Madrid-based and remote options. The role focuses on strategic analyses of longitudinal patient and prescription data, biostatistics, and collaboration with pharma BI teams to deliver insights and client-ready reports.

The candidate should have strong German and English communication skills, a life sciences/epidemiology background, and proficiency in SAS or similar statistical tools.

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