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R1417643 Data Analyst SAS & SQL - German Speaker, remoto
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Client:
IQVIA
Location:
remoto, Spain
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
677312889854990745632460
Job Views:
6
Posted:
31.03.2025
Expiry Date:
15.05.2025
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Job Description:
Join us on our exciting journey! We are recruiting a new team member for our Madrid Center of Excellence office. We are looking for a Data Analyst with knowledge of statistical programming (SAS preferred) and fluency in German. You will work in the Real-World Solutions (RWS) department within the regional business unit, comprising over 80+ data analysts and consultants in real-world evidence, epidemiology, market access, and health economics.
As part of a project team, your responsibilities will include:
- Performing strategic analyses (recurrent and ad hoc) to derive trends, conclusions, and actionable recommendations on qualitative and quantitative data, including longitudinal patient and prescription datasets.
- Evaluating secondary data on markets, physicians, pharmacists, patients, and competitive products.
- Collaborating closely with top pharma clients' business intelligence units.
- Creating reports, presentations, and other client deliverables.
Qualifications include:
- Degree in life sciences, public health, health economics, (bio)informatics, mathematics, statistics, epidemiology, or a similar field.
- Relevant experience in data analysis, biostatistics, or epidemiology, with excellent knowledge of at least one statistical programming language.
- Programming in SAS or knowledge of healthcare data analysis is a plus.
- Strong analytical skills, customer- and solution-oriented mindset.
- Fluency in German and English for client communication.
- Team player with ability to work independently and organize tasks within a project.
Additional appreciated skills include SAS programming, SQL, database studies, experience in the pharmaceutical or life sciences industry, and big data.
We invite you to join IQVIA, an equal opportunity employer committed to diversity and merit-based employment. We prohibit discrimination based on age, race, national origin, gender, or other protected statuses.