Takeda's Analytics team needs to uncover deep insights into patient, healthcare practitioner, and health system unmet clinical needs to identify ways to improve care and outcomes. The summer internship provides a unique perspective into a world-class, data-driven pharmaceutical company while gaining an appreciation of the criticality of commercial analytics.
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
- Apply statistical, programming, data wrangling, AI machine learning, data visualization and other techniques for analyzing data.
- Leverage analytical tools, such as Dataiku, Tableau, Amazon Redshift, R, Python, SAS, and/or Databricks.
Responsibilities
- Performs secondary, commercial market data analyses in the areas of segmentation, customer targeting, program ROI, key performance indicators and ad hoc marketing analyses.
- Supports market and price forecasting through secondary market data analysis
- Applies model building and coding skills to conduct various kinds of analysis on market dynamics such as resource allocation, response to marketing stimuli and customer segmentation and/or targeting using techniques such as optimization, regression, and Monte Carlo simulations.
- Uses the scientific method to uncover business insights by asking challenging business questions, developing hypotheses around them, conducting data experiments, analyzing the results and drawing conclusions from the work to provide actionable intelligence to brand teams.
- Conducts promotion response analysis for all significant brand promotional tactics, including personal and non-personal marketing initiatives, to optimize the company’s financial return on investment of these activities.
- Conducts longitudinal claims analysis to identify and assess treatment patterns and algorithms
- Prepares presentations to senior management on matters concerning market planning and analysis, product selection, and changing business environment.
Other
- Master’s degree students in Data Science, Business Analytics, Marketing Analytics or related field
- Three to five years of prior work experience
- Must be authorized to work in the US on a permanent basis without requiring sponsorship
- Must be available full time (40 hours/week) for a minimum of 12 weeks during the summer months of 2026
- Minimum GPA 3.5/4.0
- Graduate student with at least one year of university studies prior to internship
- Returning to university for at least one semester/quarter post-internship
- Global mindset to thrive in a diverse work environment
- Excellent communication and presentation skills
