Takeda's Analytics team plays a critical role in uncovering deep insights into patient, healthcare practitioner and health system unmet clinical needs to identify ways to improve care and outcomes. Takeda has invested heavily into analytics and data science tools, talent and processes to drive innovation that better shapes strategic decisions.
Requirements
- Knowledge of coding techniques in SAS, R, or Python, as well as advanced Excel skills and Tableau visualization
- Understanding and application of quantitative principles, concepts, practices, and standards surrounding the use and manipulation of secondary market data sources
Responsibilities
- You will work with an inclusive & supportive team to analyze data, including complicated medical claims and pharmacy prescription datasets, while partnering closely with key business stakeholders to solve critical business problems which impact patients’ lives.
- You will apply statistical, programming, data wrangling, AI machine learning, data visualization and other techniques for analyzing data.
- You will also leverage analytical tools, such as Dataiku, Tableau, Amazon Redshift, R, Python, SAS, and/or Databricks.
- You will develop critical thinking and problem solving under the guidance of mentors who have substantial industry experience.
- You will have ample opportunities to communicate data findings and business insights to different cross-functional stakeholders, including senior Takeda management and leadership, brand, marketing, and sales teams to practice effective communication.
- Our ALDP program also provides you the opportunity to network with people, including access to a vast array of analytical leaders, at Takeda through various planned events and activities.
Other
- Must be authorized to work in the US on a permanent basis without requiring sponsorship
- Minimum GPA 3.5/4.0
- Global mindset to thrive in a diverse work environment
- Excellent communication and presentation skills
- Master’s degree or PhD students in Data Science, Business Analytics, or Marketing Analytics or related field graduating spring 2026
