Base: estimated range based on qualifications + lo...
Data architecture and pipelines
Advanced sql skills
Python for data processing
You will lead the design of analytics frameworks, statistical reporting, and data methodologies that uncover trends in complex data sets and generate insights to guide recruiting and business decisions across BioLife U.S. and global plasma center markets
Job Summary
You will lead the design of analytics frameworks, statistical reporting, and data methodologies that uncover trends in complex data sets and generate insights to guide recruiting and business decisions across BioLife U.S. and global plasma center markets.
Takeda is committed to equitable pay for all employees and offers a comprehensive benefits package including medical, dental, vision insurance, 401(k) plan with company match, paid vacation, and well-being benefits.
The role involves partnering closely with talent acquisition leadership and cross-functional teams to prioritize initiatives, translate data into actionable strategies, and measure the impact of technology and program changes to drive continuous improvement.
Matching Summary
You will lead the design of analytics frameworks, statistical reporting, and data methodologies that uncover trends in complex data sets and generate insights to guide recruiting and business decisions across BioLife U.S. and global plasma center markets.
Salary
Base: Estimated range based on qualifications and location; Bonus/Equity: U.S. employees may be eligible for incentives; Benefits: Medical, dental, vision, 401(k), paid time off, and more
Skills & Requirements
Must-have
Data architecture and pipelines
Advanced SQL skills
Python for data processing
Business intelligence tools
Data quality and governance
Cloud data platforms
Nice-to-have
Talent acquisition data experience
Project management skills
Collaborative mindset
AI and advanced analytics application
Dashboard development
Cross-functional team collaboration
Key Requirements
Bachelor’s degree in analytics or related field
Six or more years of professional experience
Experience with Databricks or similar cloud platforms
Proficiency in Python and SQL
Experience designing analytical data models
Experience with data governance and measurement standards