Associate Director, US Consumer Analytics

Associate Director, US Consumer Analytics

Location:

Cambridge, MA or Morristown, NJ

The Associate Director, US Consumer Advanced Analytics, will be responsible for applying data, analytics, and measurement capabilities to improve consumer and patient engagement, media effectiveness, and business decision-making across Sanofi North America. As a member of the Insights and Analytics team, this individual will serve as a strategic analytics partner to assigned brands and indications, while also helping build scalable consumer analytics capabilities that can be leveraged across the portfolio.

This role will partner closely with Brand, Media, Omnichannel, Digital, agency partners, and offshore analytics hub resources to translate business questions into actionable insights, audience strategies, measurement plans, and optimization recommendations. The Associate Director will bring strong analytical judgment, hands-on problem solving, and clear business communication to support more timely, consistent, and impactful consumer marketing decisions. This role will sit within the GTMC (Go-to-Market Capabilities) NA Organization, within the Insights & Analytics pillar.

This position will report to the Director, US Consumer Advanced Analytics and will be based in Cambridge, MA or Morristown, NJ.

We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.

• Brand Analytics Partnership
• Consumer Analytics Capability Development
• Analytics Delivery and Cross-Functional Execution
• Team Culture and Ways of Working

Basic Qualifications:

• Bachelor's degree required; preferably in a quantitative field.

Skills and

Competencies:

• Minimum of 5+ years of experience in commercial brand and/or media analytics, or equivalent consulting experience.
• Demonstrated experience working with 1st & 3rd party consumer data sources across key media channels such as CRM, CTV/OLV, Search, and/or Social.
• Strong foundation in core statistical methods (descriptive statistics, probability distributions), experimental design (A/B tests, multivariate tests, holdout/control group studies), and causal inference methods (difference-in-differences, propensity score matching, synthetic control approaches) to support media incrementality and campaign lift measurement.
• Proficiency in SQL and/or Python is required.
• Proven ability to translate complex analytical findings into clear, actionable business recommendations for non-technical audiences.
• Strong communication and presentation skills, with demonstrated ability to conduct meetings and present independently to cross-functional stakeholders, including senior leadership.
• Strong strategic thinking ability, with a solid understanding of the life-sciences industry.
• Ability to work effectively in a highly matrixed environment, collaborating across multiple teams and time zones.
• Strong learning agility, intellectual curiosity, and attention to detail.
• Ability to think strategically in ambiguous environments and adapt as business priorities evolve.
• Demonstrated emotional intelligence (EQ) and collaborative leadership skills.

Preferred Qualifications:

• Master's, MBA, or PhD in a quantitative field, or advanced certification in data science or machine learning.
• Experience working as a media analyst at a marketing or media agency (e.g., Havas or similar).
• Deep hands-on expertise in multi-touch attribution modeling, preferably for pharmaceutical brands.
• Experience with key pharmaceutical data sources and analytics platforms, including:
• National-level sales/demand data (e.g., IQVIA NPA & NSP)
• Longitudinal HCP & patient-level claims (e.g., IQVIA, Symphony, Komodo)
• Specialty pharmacy/patient services data (e.g., Capgemini/Liquid Hub)
• CRM systems (e.g., Veeva, Salesforce)
• Media platform reporting tools (e.g., CM360/SA360, Meta Business Manager, Google Analytics)
• Data management & analysis platforms (e.g., Databricks,…