Lead the design and execution of marketing mix models (MMM) to evaluate brand promotional effectiveness and inform investment decisions.
Analyze trends across channels and campaigns to provide guidance on resource allocation and return on marketing investments.
Translate complex model outputs into actionable insights and 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.

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.

Masters degree (or Bachelors with equivalent experience) in Economics, Data Science, Applied Statistics, or related field.
812 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.

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.

Lead the design and execution of marketing mix models (MMM) to evaluate brand promotional effectiveness and inform investment decisions.
Analyze trends across channels and campaigns to provide guidance on resource allocation and return on marketing investments.
Translate complex model outputs into actionable insights and 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.

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.

Masters degree (or Bachelors with equivalent experience) in Economics, Data Science, Applied Statistics, or related field.
812 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.

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.

Advanced Analytics Manager

Skills