Data Analyst, SAS, SQL Programming, German Speaker

🕒 April 29

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IQVIA

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏭 Manufacturing

📣 Marketing

💰 $1G Post-IPO Debt on 2023-05

Consulting • Manufacturing • Marketing

IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.

📋 Description

• Join the Madrid Center of Excellence office as a Data Analyst. • Run analyses and oversee project deliverables for top clients in the pharmaceutical and healthcare industry. • Perform strategic analyses to derive trends, conclusions, and actionable recommendations from data. • Evaluate secondary data on markets, physicians, pharmacists, and patients. • Work closely with the project manager and pharma client’s business intelligence units. • Create reports, presentations, and other client deliverables.

🎯 Requirements

• 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

🏖️ Benefits

• Health insurance • Professional development opportunities