Associate Director, US Consumer Analytics

Basic Qualifications:

• Bachelor's degree required; preferably in a quantitative field.
• Minimum of 5+ years of experience in pharma/healthcare analytics; or commercial brand/media analytics with pharma/healthcare analytics experience.
• Strong foundation in core statistical methods (e.g. descriptive statistics and probability distributions)
• Experience designing and/or interpreting experiments (e.g., A/B tests, multivariate tests, holdout/control group studies) to measure the impact of commercial, patient, or marketing initiatives.
• Working knowledge of causal inference methods used for incrementality measurement; hands-on experience with at least one of the following is required, with experience across multiple approaches considered a plus: difference-in-differences, propensity score matching, synthetic control approaches, or comparable quasi-experimental techniques.
• Experience with one or more of the following pharmaceutical and analytics data sources/platforms:
• National-level sales/demand data (e.g., IQVIA NPA & NSP)
• Longitudinal HCP & patient-level claims (e.g., IQVIA, Symphony, Komodo)
• CRM systems (e.g., Veeva, Salesforce)
• Data management & analysis platforms (e.g., Databricks, Snowflake, Tableau, Qlik, Power BI)
• Experience in the pharmaceutical or life sciences industry, with analytics applied to HCP, patient, or consumer engagement.
• Proficiency in SQL and/or Python is required.

Preferred Qualifications:

• Master's, MBA, or PhD in a quantitative field, or advanced certification in data science or machine learning.
• Relevant therapeutic area experience in pharmaceutical analytics (e.g., specialty care, immunology).
• Experience with specialty pharmacy/patient services data (e.g., Capgemini/LiquidHub).
• Experience with media platform reporting tools (e.g., CM360/SA360, Meta Business Manager, Google Analytics).
• Experience applying experimental design and causal methods to media incrementality and campaign lift measurement.
• Experience working as a media analyst at a marketing or media agency.
• Demonstrated experience working with 1st & 3rd party consumer data sources across key media channels such as CRM, CTV/OLV, Search, and/or Social.
• Deep hands-on expertise in multi-touch attribution modeling, preferably for pharmaceutical brands.
• Skills and Competencies
• 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.
• Proven ability to translate complex analytical findings into clear, actionable business recommendations for non-technical audiences.
• Demonstrated emotional intelligence (EQ) and collaborative leadership skills.
• Why Choose Us?
• Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
• Make your work count by supporting a company that brings life-changing treatments to millions — and is committed to doing right by patients, communities, and the planet.
• Drive progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.
• Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.
• Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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.
• #GD-SA #LI-SA
• Working knowledge of causal inference methods used for incrementality measurement; hands-on experience with at least one of the following is required, with experience across multiple approaches considered a plus: difference-in-differences, propensity score matching, synthetic control approaches, or comparable quasi-experimental techniques.
• Pursue progress , discover extraordinary
• Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
• Sanofi US endeavours to make our career center accessible to any and all users. If you are experiencing difficulty and need assistance applying online, please call 1-866-SANOFI2 (1-866-726-6342) or click here
• US and Puerto Rico Residents Only
• North America Applicants Only
• $148.500,00 - $214.500,00
• All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Pursue progress , discover extraordinary