
location_onPeabody Street, Neighborhood Nine, Cambridge, Middlesex County, Massachusetts, 02318, United States
Sanofi is an R&D driven, AI-powered biopharma company committed to improving people's lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people's lives. We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world.
This role sits within the Go-to-Market Capabilities (GTMC) North America Organization, specifically within the Insights & Analytics pillar. The team operates in a matrixed environment, balancing strategic priorities with hands-on analytical work to support commercial and cross-functional stakeholders across Sanofi North America.
The Associate Director, US Consumer Advanced Analytics will serve as a strategic analytics partner to assigned brands and indications. You will apply data, analytics, and measurement capabilities to improve consumer and patient engagement, media effectiveness, and business decision-making. This position is designed to translate business questions into actionable insights, audience strategies, measurement plans, and optimization recommendations.
As a member of the Insights and Analytics team, you will help build scalable consumer analytics capabilities that can be leveraged across the portfolio. You will partner closely with Brand, Media, Omnichannel, Digital, agency partners, and offshore analytics hub resources. The role requires strong analytical judgment and clear business communication to support more timely, consistent, and impactful consumer marketing decisions. You will work effectively in a highly matrixed environment, collaborating across multiple teams and time zones to drive strategic imperatives.
Bring the miracles of science to life alongside a supportive, future-focused team. Reinvention is in our DNA; it's what drove our evolution from a small French enterprise to one of the world's leading biopharma companies. Whether it's using AI to shorten drug-discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities.
Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. We are committed to a culturally diverse workforce and provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability, or gender identity.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
Work model: On-site
Peabody Street, Neighborhood Nine, Cambridge, Middlesex County, Massachusetts, 02318, United States
Cambridge, Massachusetts
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/LiquidHub), CRM systems (e.g., Veeva, Salesforce), Media platform reporting tools (e.g., CM360/SA360, Meta Business Manager, Google Analytics), and Data management & analysis platforms (e.g., Databricks, Snowflake, Tableau, Qlik, Power BI). Relevant therapeutic area experience in pharmaceutical analytics (e.g., specialty care, immunology).
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Skills: SQL, Python, CRM, CTV, Olv, Search, Social, Ab Tests, Multivariate Tests, Difference-In-Differences.
Education: Bachelor's degree required in a quantitative field; Master's, MBA, or PhD in a quantitative field preferred; PhD in a quantitative field preferred.