#R-228269
d business recommendations through compelling visual and narrative storytelling.
Build dashboards, PowerPoint summaries, and talking points for brand leadership and US-based commercial stakeholders.
Collaborate with US brand teams, marketing, finance, and vendor partners to align on inputs, assumptions, and interpretation of results.
Work hands-on in Databricks using Python/PySpark and SQL to clean, transform, and model large marketing and sales datasets.
Mentor junior analysts in marketing measurement and coding best practices as needed.
Thrive | What you can expect
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
Basic Qualifications
Master's degree (or Bachelor's with equivalent experience) in Economics, Data Science, Applied Statistics, or related field.
8-12 years of experience in analytics, with direct experience building or applying MMM in a pharma or healthcare context.
Strong Python and SQL skills with experience using Databricks or equivalent cloud-based environments.
Excellent communication and presentation skills, with ability to influence commercial decision-makers.
Demonstrated ability to translate technical analyses into business-friendly insights.
Preferred Qualifications
Exposure to media measurement, marketing channel optimization, or omnichannel campaign analysis.
Experience collaborating with cross-functional teams across marketing, finance, and vendors.
Familiarity with causal inference methods or simulation techniques.
Strong business acumen and comfort presenting to senior stakeholders in commercial or brand leadership.
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