Internship - Data Science / Insights and Analytics
hace 6 meses
**Data Insights and Analytics Intern**
AstraZeneca is an innovation-driven global biopharmaceutical company focused on the discovery, development, and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal, and metabolic, respiratory and immunological, oncological and rare diseases.
In line with our firm commitment to training and developing exceptional talent, this person will join our Data Insights and Analytics area to learn and grow through active collaboration with our team.
**Conditions**:
Duration: 1 year
Hours per day: Full time
Location: Barcelona
Focus area: Data Insights and Analytics
**Training through practical experience**:
This internship is designed to provide hands-on learning experience in the field of Data Insights and Analytics within the context of rare diseases. The intern will have the opportunity to support and collaborate with experienced professionals, gaining valuable skills and knowledge essential for a career in this specialized area.
**Areas of involvement**:
- Assist in the extraction, cleaning, and organization of rare disease data sets under the supervision of senior analysts.
- Collaborate with the team to support the development and implementation of data sets, models, and data products.
- Oversee how data is managed and governed throughout the platform, learning the best practices.
- Contribute to the visualization of data insights using tools like Qlik Sense or Power BI, under the guidance of senior team members.
- Support the team in conducting data analysis and gathering relevant information for data analytics projects.
- Assist in the preparation and presentation of findings and periodic reporting to internal stakeholders.
**Requirements**:
- Currently pursuing a degree (or recently acquired) in a relevant field such as Computer Science, Data Science, Statistics, Bioinformatics, or related areas.
- Strong passion for learning and contributing to data insights and analytics projects and initiatives.
- Proficiency in programming languages such as R or Python is a plus.
- Excellent communication and collaboration skills, with a keen interest in interdisciplinary teamwork and curiosity.
**Learning Outcomes**:
By the end of this internship, the intern will have gained practical experience in data engineering such as extraction, cleaning, analysis, and visualization within the context of data insights and analytics domain. They will have developed a deeper understanding of the role of data insights and analytics and will be equipped with valuable skills to pursue a career in this field.
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