Amgen's Marketing Investment Optimization team is seeking a skilled and motivated Investment Analytics Manager to help drive data-informed decision-making by developing econometric models, measuring impact of promotion via causal inference techniques, and conducting analyses to solve key business challenges.
Requirements
- Extensive experience with SQL, Python, R, and similar programming languages
- Experience with marketing mix models, experimentation, optimization, lift analysis, and media data
- Strong working knowledge of machine learning algorithms and techniques
- Familiarity with Healthcare Data, Real World Data, Clinical Coding Systems, Claims data, EMR. and understanding of data analysis workflows
- Ability to execute with limited guidance and provide business insights to stakeholders
- Proven track record of working collaboratively across technical and non-technical teams
- Comfort navigating ambiguous requirements and working toward clarity and alignment
Responsibilities
- Collaborate with cross-functional teams to build and maintain Marketing Mix models and share insights with business stakeholders
- Conduct modeling processes from end-to-end including data ingestion, transformation, model development, calibration, cross-validation, and model optimization
- Lead experimental design and measurement to evaluate the effect of promotional intervention on business performance
- Conduct independent analyses on internal analytics databases and data clean rooms to generate actionable insights
- Collaborate with both internal and external teams to conduct analysis, segmentation, and enhancement of audience data
- Develop data visualization and presentations to communicate marketing performance and business impact to brand teams
- Operate with agility and independence in a highly dynamic environment, proactively identifying gaps and opportunities
Other
- Flexible Commuter role to Thousand Oaks, CA or Deerfield, IL office. You will work on-site a minimum of 2-3 days a week.
- Manage, coordinate, and prioritize multiple projects/tasks with conflicting deadlines in consultation with internal and external stakeholders
- The ideal candidate thrives in ambiguous, fast-paced environments and is energized by solving open-ended problems in collaboration with cross-functional teams.
- The data science professional we seek is a collaborator with these qualifications.
- Experience in the commercial pharmaceuticals business
