Associate Director, US Consumer Analytics

Main Responsibilities

• Serve as an analytics business partner to assigned consumer brands/indications; translate brand strategy, media priorities, and business questions into analytics plans and recommendations.
• Design and interpret insights for DTC/P ecosystem; assess use case impact and support AI-mediated engagement across the customer journey.
• Define KPIs, audience priorities, measurement needs, test-and-learn opportunities, and optimization questions for DTC/patient campaigns; connect engagement, media activity, audience behavior, patient journey progression, and business outcomes.
• Lead/support recurring performance readouts; translate analytical outputs into business implications and recommended actions.

• Contribute to the US Consumer Media Analytics Strategy.
• Scale consumer analytics capabilities (segmentation, lookalike modeling, patient journey analytics, media measurement, attribution, reporting, test-and-learn).
• Define/executing business requirements, analytical inputs, and success criteria with Omnichannel/Digital/Data/Engineering/Data Science.
• Design and interpret analyses of large healthcare and media datasets; deliver actionable recommendations.
• Establish repeatable standards, templates, QA processes, and documentation; support analytics prioritization.

• Coordinate with Therapeutic Area Advanced Analytics leads to integrate work streams.
• Collaborate with Data Science/technical partners on modeling, audience creation, measurement design, test/control, and validation.
• Partner with Digital/Data to ensure dashboards and workflows meet business needs.
• Coordinate with data teams, agencies/vendors, and offshore analytics hub; ensure privacy-conscious, policy-aligned outputs.
• Contribute to a culture of curiosity, collaboration, inclusion, analytical rigor, and ownership.

Required

• Bachelor’s degree (preferably quantitative).
• 5+ years in commercial brand and/or media analytics (or equivalent consulting).
• Experience with 1st & 3rd party consumer data (CRM, CTV/OLV, Search, Social).
• Statistical methods, experimental design (A/B, multivariate), and causal inference for incrementality/lift.
• Proficiency in SQL and/or Python.
• Ability to translate complex findings for non-technical audiences; strong communication/presentation.

Preferred

• Master’s/MBA/PhD (quantitative) or advanced certification.
• Media agency experience (e.g., Havas or similar).
• Multi-touch attribution expertise (pharma preferred).
• Experience with pharma data sources/platforms (e.g., IQVIA, Symphony/Komodo, Veeva/Salesforce, CM360/SA360, Databricks/Snowflake/Tableau/Qlik/Power BI).

• Healthcare and wellbeing benefits, including at least 14 weeks’ gender-neutral parental leave.