Senior Data Analyst for Global Pharma Insights
hace 1 día
Veeva Systems, a pioneer in industry cloud and mission-driven organization, is seeking a highly skilled Senior Data Analyst to join its Business Consulting group. As a fully remote analyst, you will work closely with consultants to develop and create meaningful business insights through data analytics, data science, and data visualization.
About You
We are looking for a talented professional with a strong background in scientific data and healthcare knowledge. Your expertise in data analysis, machine learning, and data visualization will enable you to identify relevant trends and provide actionable insights to senior executives in global pharma. Additionally, your ability to work in a dynamic environment as part of a cross-functional team will be essential in delivering business-relevant data analytics and insights for pharma companies.
Responsibilities
- Analyze data from Veeva Data Cloud and external sources to identify key trends and patterns.
- Design, build, and maintain visualizations, dashboards, and data pipelines to present findings to stakeholders.
- Leverage machine learning, NLP, and other data science techniques to uncover new insights and opportunities.
- Collaborate with consultants to develop and deliver business-relevant data analytics and insights for pharma companies.
About Our Company
Veeva Systems is a fast-growing company that has surpassed $2B in revenue in its last fiscal year. We offer a unique opportunity to make a positive impact on the life sciences industry while working in a collaborative and dynamic environment. Our values include Do the Right Thing, Customer Success, Employee Success, and Speed, which guide our actions and decisions every day.
What We Offer
- A competitive salary of approximately $120,000 per annum, commensurate with experience and qualifications.
- The opportunity to work on high-impact projects that drive business growth and innovation.
- A dynamic and supportive work environment that encourages collaboration and continuous learning.
- A comprehensive benefits package that includes health insurance, retirement savings, and paid time off.
Requirements
- MD/PhD/MSc degree in a relevant field (e.g., medicine, biology, computer science).
- Strong background in scientific data and healthcare knowledge.
- Excellent analytical and problem-solving skills.
- Proficiency in data analysis, machine learning, and data visualization tools (e.g., Python, R, Tableau).
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