Associate Director, Consumer Analytics

Role Overview

• Serve as an analytics business partner to assigned consumer brands and indications, helping translate brand strategy, media priorities, and business questions into clear analytics plans and recommendations
• Design and interpret insights for DTC/P ecosystem, impact assessment of use cases, and support on-going advancements to support AI mediated engagement throughout 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 Direct to Consumer/Patient campaigns
• Develop performance insights that connect consumer engagement, media activity, audience behavior, patient journey progression, and business outcomes
• Lead or support recurring performance readouts, translating analytical outputs into clear business implications and recommended actions
• Support the development and scaling of consumer analytics capabilities, such as audience segmentation, lookalike modeling, patient journey analytics, media measurement, attribution, reporting, and test-and-learn frameworks
• Define and execute business requirements, analytical inputs, and success criteria for priority use cases in partnership with Omnichannel, Digital, Data Management, Data Engineering, and Data Science teams
• Design, execute, and interpret analyses of large healthcare and media datasets and translate complex data findings to clear actionable recommendations for commercial and cross-functional teams to drive strategic imperatives
• Help establish repeatable standards, templates, QA processes, and documentation to improve consistency across brands and indications.
• Serve as key member of larger Advanced Analytics team, coordinating with Therapeutic Area (TA) Advanced Analytics lead to integrate Consumer Analytics workstreams with other Advanced Analytics deliverables
• Collaborate with Data Science and technical partners on model development, audience creation, measurement design, test/control construction, and validation of analytical outputs
• Partner with Digital and Data teams to ensure dashboards, data assets, and analytics workflows meet business needs and support timely decision-making.

Requirements

• Bachelor's degree required in a quantitative field (e.g., Statistics, Mathematics, or Engineering)
• Minimum of 5+ years of experience in commercial brand and/or media analytics, or equivalent consulting experience
• Demonstrated experience working with 1st & 3rd party consumer data sources across key media channels (e.g., CRM, CTV/OLV, Search, and Social)
• Strong foundation in core statistical methods (descriptive statistics, probability distributions), experimental design (A/B tests, multivariate tests, holdout/control group studies), and causal inference methods (difference-in-differences, propensity score matching, synthetic control approaches) to support media incrementality and campaign lift measurement
• Proficiency in SQL and Python is required
• Proven ability to translate complex analytical findings into clear, actionable business recommendations for non-technical audiences
• 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
• Demonstrated emotional intelligence (EQ) and collaborative leadership skills.

Tech Stack

• Python
• SQL

Benefits

• high-quality healthcare
• prevention and wellness programs
• at least 14 weeks’ gender-neutral parental leave