German-Speaking Data Analyst (SAS/SQL) – Remote Spain

Revolut

Santander

Remote

EUR 42,000 - 62,000

Full time

31 hours ago
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Job summary

IQVIA in Madrid, Spain, is seeking a Data Analyst (SAS/SQL) fluent in German to join the Real-World Solutions team. The role focuses on statistical programming, epidemiology and health data analysis within a multinational project environment. Remote work from Spain is supported.

You will collaborate with project managers to deliver analyses, reports and client-ready deliverables for pharma and healthcare clients, utilizing SAS and SQL, and presenting findings in German and English.

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; fluency in at least one statistical programming language.
  • Programming in SAS or knowledge in healthcare data analysis is a plus.

Responsibilities

  • Performing strategic analyses to derive trends, conclusions, and actionable recommendations for clients.
  • Evaluating secondary data on markets, physicians, patients, and products.
  • Collaborating with clients' BI units and delivering reports and presentations.
  • Creating client deliverables and ensuring quality of outputs.

Skills

Data analysis
Biostatistics
Epidemiology
German language
Statistical programming
Client communication

Education

Life sciences / public health / health economics / (bio)informatics / mathematics / statistics / epidemiology

Tools

SAS
SQL
Excel
PowerPoint

Job description

IQVIA in Madrid, Spain, is seeking a Data Analyst (SAS/SQL) fluent in German to join the Real-World Solutions team. The role focuses on statistical programming, epidemiology and health data analysis within a multinational project environment. Remote work from Spain is supported.

You will collaborate with project managers to deliver analyses, reports and client-ready deliverables for pharma and healthcare clients, utilizing SAS and SQL, and presenting findings in German and English.

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