Associate Director, Consumer Analytics

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. #J-18808-Ljbffr Jobtailor