Remote Data Analyst (SAS/SQL) - German Speaker

Tsmg Holding; Salamanca; Remote; EUR 38,000 - 64,000; Full time

Job summary

We are seeking a Data Analyst with knowledge of statistical programming (SAS preferred) and fluent in German for our Madrid Center of Excellence. This full-time role, based in Madrid, Spain, involves running analyses and delivering projects for pharmaceutical and healthcare clients within a multicultural team.

The ideal candidate will have a degree in life sciences or related fields, with experience in data analysis, biostatistics, or epidemiology, and strong SAS or SAS/SQL programming

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.
• Programming in SAS or knowledge in the analysis of healthcare

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

Skills

SAS programming

SQL programming

German language fluency

Data analysis

Biostatistics

Education

Life sciences / related field degree

Tools

SAS

SQL

Job description

We are seeking a Data Analyst with knowledge of statistical programming (SAS preferred) and fluent in German for our Madrid Center of Excellence. This full-time role, based in Madrid, Spain, involves running analyses and delivering projects for pharmaceutical and healthcare clients within a multicultural team.

The ideal candidate will have a degree in life sciences or related fields, with experience in data analysis, biostatistics, or epidemiology, and strong SAS or SAS/SQL programming