At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
Roles and Responsibilities
- Support the team with data engineering tasks such as collecting, cleaning, and organizing data using Python and SQL.
- Assist in initial data analysis to help understand project requirements and support decision-making.
- Help set up data products and dashboards for ongoing projects.
- Support data validation and User Acceptance Testing (UAT) to ensure data quality and accuracy.
- Collaborate with team members to learn and contribute to new data initiatives.
- Gain insights into how data supports finance-related business activities.
Education & Experience
- Currently enrolled student (m/f/d) at a university or college, ideally in fields such as computer science, data science, business informatics, finance, or similar.
Skills and additional Requirements
- Solid knowledge of programming with Python and SQL.
- Curious about data and eager to learn more about data engineering and analytics.
- Some knowledge of Power BI and S/4HANA is an advantage.
- Interest in finance and business topics is a plus but not mandatory.
- Self-motivated, organized, and able to work independently as well as in a team.
- Good communication skills in English; German language skills are a bonus.
- Familiarity with MS Office applications (Excel, Word).
