Strategic US Consumer Analytics Lead

Sanofi; Cambridge (MA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health benefits

Parental leave

Career growth

Global mobility

Job summary

Sanofi is seeking an Associate Director, US Consumer Advanced Analytics to lead data-driven decision making across consumer brands within the US market. The role will partner with Brand, Media, Omnichannel, and Data teams to build scalable analytics capabilities and actionable insights supporting consumer engagement and media effectiveness.

The role requires deep statistical knowledge, hands-on problem solving, and strong communication to influence cross-functional teams.

Qualifications

• 5+ years pharma/healthcare analytics experience or equivalent
• Strong foundation in descriptive statistics and probability distributions
• Experience designing and interpreting experiments (A/B tests, multivariate tests)
• Knowledge of causal inference methods (DID, propensity score, synthetic controls)
• Experience with healthcare datasets and analytics platforms (IQVIA, CRM systems)
• Proficiency in SQL and Python

Responsibilities

• Partner with brands to define KPIs, audiences, and analytics plans.
• Design insights for DTC ecosystem and patient journey analytics.
• Lead performance readouts and translate analytics into actions.
• Collaborate with cross-functional teams to deliver dashboards and data assets.
• Ensure privacy-conscious analytics and governance compliance.

Skills

SQL

Python

Statistical methods

Experiment design

Education

Bachelor’s degree in quantitative field

Master's degree in quantitative field

Tools

Tableau

Power BI

Databricks

Salesforce

Job description

Sanofi is seeking an Associate Director, US Consumer Advanced Analytics to lead data-driven decision making across consumer brands within the US market. The role will partner with Brand, Media, Omnichannel, and Data teams to build scalable analytics capabilities and actionable insights supporting consumer engagement and media effectiveness.

The role requires deep statistical knowledge, hands-on problem solving, and strong communication to influence cross-functional teams.