Data Analyst (SAS / SQL Programming) - German Speaker (Spain remote)

Madrid, Spain
Full time
R

We are recruiting a new team member to join us at our Madrid Center of Excellence office! We are looking for a Data Analyst with knowledge of statistical programming (SAS preferred) and fluent in German language.

You will work in the Real-World Solutions (RWS) department within the regional business unit. The team comprises over 80+ data analysts/consultants with various capabilities in real-world evidence, epidemiology, market access and health economics. As part of a project team, you will run analyses and oversee the deliverables of projects for our top clients in the pharmaceutical and healthcare industry. You will work closely with the project manager.

Responsibilities:

- Performing strategic analyses (recurrent and ad hoc) to derive trends, conclusions, and actionable recommendations for clients on qualitative and quantitative data, including longitudinal patient and prescription datasets
- 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

Adecuado candidate:





- 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.
- Programming in SAS or knowledge in the analysis of healthcare data is a plus.
- Strong analytical skills and quality, customer- and solution-oriented way of working.
- Confident in German and English client conversations;
strong communicative skills, orally and in writing.
- Team player, able to integrate in an international and multidisciplinary team.
- Confident use with Office tools, in particular Excel and PowerPoint.
- Ability to work independently and organize analytical tasks as part of a project team.

Knowledge or experiences in the following areas are appreciated:

- Programming in SAS
- Database studies
- Experience in data mining and the application of databases and software tools
- Experience in the pharmaceutical or life sciences industry
- Big data

EEO Minorities/Females/Protected Veterans/Disabled

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