Associate Director, US Consumer Analytics

Main Responsibilities
Brand Analytics Partnership
- Serve as an analytics business partner to assigned consumer brands and indications; translate brand strategy, media priorities, and business questions into analytics plans and recommendations.
- Design and interpret DTC/P ecosystem insights, assess use-case impact, and support AI-mediated engagement across the customer journey lifecycle.
- Partner with Brand and Media teams to 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.

Consumer Analytics Capability Development
- Contribute to the development of the US Consumer Media Analytics Strategy.
- Support scaling analytics capabilities (audience segmentation, lookalike modeling, patient journey analytics, media measurement, attribution, reporting, test-and-learn frameworks).
- Define and execute business requirements, analytical inputs, and success criteria for priority use cases with Omnichannel/Digital/Data teams.
- Design/execute/interpret analyses of large healthcare and media datasets; translate findings into actionable recommendations.
- Establish standards, templates, QA processes, and documentation; support prioritization across brand needs and team capacity.

Analytics Delivery and Cross-Functional Execution
- Coordinate Consumer Analytics workstreams with broader Advanced Analytics deliverables.
- Collaborate with Data Science on model development, audience creation, measurement design, test/control setup, and validation.
- Partner with Digital and Data teams to ensure dashboards and workflows enable timely decisions; coordinate on data infrastructure and quality.
- Coordinate with agencies/vendors and offshore analytics hub for measurement, reporting, QA, and recurring needs.
- Ensure outputs are accurate, actionable, privacy-conscious, and aligned with policies/SOPs/governance.

Qualifications
Required
- Bachelor’s degree in a quantitative field (Statistics, Mathematics, Engineering).
- 5+ years in commercial brand and/or media analytics (or equivalent consulting).
- Experience with 1st/3rd party consumer data across CRM, CTV/OLV, Search, Social.
- Strong statistical methods, experimental design (A/B, multivariate), and causal inference (difference-in-differences, propensity score matching, synthetic control) for incrementality/lift.
- Proficiency in SQL and Python.
- Ability to communicate complex insights to non-technical audiences; strong presentation skills.

Preferred
- Master’s/MBA/PhD or advanced data science/ML certification.
- Media analyst experience at a marketing/media agency.
- Hands-on multi-touch attribution modeling (pharma preferred) and experience with pharmaceutical data/analytics platforms (e.g., IQVIA, Veeva, CM360/SA360, Databricks/Snowflake/Tableau/Qlik/Power BI).