Key Responsibilities:
- Build and maintain core analytical models (segmentation, propensity, channel attribution) for standardized omnichannel performance measurement.
- Apply guidance/templates/feedback to deliver high-quality analytics.
- Improve analytic accuracy and insight quality using retrospectives, metrics, and feedback.
- Monitor progress/quality; raise risks, issues, or improvement opportunities to the team lead.
- Transition recurring analytics into scalable, reusable capabilities and pipelines.
- Partner with leadership, analytics partners, and stakeholders; support handoffs, data inputs, and issue resolution.
Required Knowledge, Skills, and Abilities:
- Data science methodologies and AI/ML modeling (e.g., Gemini, SageMaker, AmazonQ).
- Understanding of data governance, compliance requirements, and operational controls in regulated industries.
- Ability to translate data into actionable insights across franchises and markets.
- Experience in Agile environments and capability-based operating models.
- Business acumen, critical thinking, problem solving, adoption, and continuous improvement.
Qualifications:
- Bachelorβs degree in business, healthcare, technology, or related field.
- 5+ years in advanced analytics/data science/ML/AI-ML within commercial or marketing analytics.
Preferred / Additional:
- MBA or relevant graduate degree.
- Pharma/healthcare industry experience.
- Rare disease or specialty brand experience.
Working Requirement:
- 20β30% travel.
Compensation/Benefits (US candidates):
- Base pay range: $128,000β$192,000.
- Eligible for discretionary annual cash bonus/incentive and discretionary equity.
- Medical, dental, vision, 401(k), flexible paid vacation.