Advanced Analytics Manager - IBEX
AstraZeneca
In this role, you lead end-to-end advanced analytics and data science initiatives to inform UK commercial and medical decisions. You will design, validate, and industrialise analytics solutions, partnering with cross-functional teams to translate ambiguity into evidence and practical recommendations. Your work shapes analytics standards, enabling trusted models for critical business outcomes, including AI-enabled analytics and next-generation capabilities like the Commercial Digital Twin. This hands-on leadership position balances strategic vision with practical delivery across the product lifecycle.
Pay / Benefits- competitive salary and benefits
- reasonable adjustments/accommodations
- Design and deliver high-impact analytics projects addressing key business questions
- Lead end-to-end delivery from problem framing to communication of results
- Develop complex Python solutions with data engineers for data prep, feature engineering, modeling and documentation
- Combine internal and external data to generate insights and present sophisticated outputs clearly
- Apply approaches such as promotional mix modelling, patient/customer analytics, and Digital Twin to influence decisions
- Drive analytical innovation by exploring ML/AI techniques and new data sources
- Set statistical standards, review models for bias, uncertainty and validity
- Build cross-functional partnerships to ensure analytics is trusted and impactful
- Advanced analytics, data science, statistics, econometrics or equivalent expertise
- Proven track record delivering end-to-end analytical projects with business impact
- Experience using large, complex datasets
- Experience with marketing mix/modelling and AI/ML methodologies
- Strong knowledge of statistics, inference, interpretation, and limitations
- Ability to influence decision-making through evidence
- Proficiency in Python, R, SQL, Power BI, Databricks
- Experience operating in life sciences, healthcare or related industry
- Influencing senior stakeholders
- Collaborative cross-functional partnership
- Curiosity and strategic thinking
- Python
- R
- SQL
Reference: WJ-747_31059632