Main Responsibilities
Brand Analytics Partnership
- 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/interpret insights for DTC/P ecosystem, including impact assessment of use cases and supporting 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, audience behavior, patient journey progression, and business outcomes.
- Lead/support recurring performance readouts; translate analytics into business implications and recommended actions.
Consumer Analytics Capability Development
- Contribute to the US Consumer Media Analytics Strategy.
- Support scaling capabilities (audience segmentation, lookalike modeling, patient journey analytics, media measurement/attribution, reporting, and test-and-learn frameworks).
- Define requirements, analytical inputs, and success criteria for priority use cases with Omnichannel, Digital, Data Management, Data Engineering, and Data Science.
- Design/interpret analyses of large healthcare and media datasets and translate findings into actionable recommendations.
- Establish repeatable standards/templates/QA processes/documentation; support prioritization across needs and capacity.
Analytics Delivery and Cross-Functional Execution
- Coordinate consumer analytics workstreams with Advanced Analytics deliverables.
- Collaborate on model development, audience creation, measurement design, test/control construction, and validation.
- Partner to ensure dashboards/workflows meet business needs; ensure data quality and infrastructure.
- Coordinate with agency/vendor partners and offshore analytics hub; ensure privacy-conscious, governance-aligned outputs.
Qualifications
Required
- Bachelorβs degree (preferably quantitative).
- 5+ years in commercial brand and/or media analytics (or equivalent consulting).
- Experience with 1st/3rd party consumer data across CRM, CTV/OLV, Search, and/or Social.
- Statistical/expt design/causal inference for incrementality and lift (A/B, multivariate, holdouts; diff-in-diff, propensity score matching, synthetic control).
- Proficiency in SQL and/or Python.
- Ability to translate complex insights for non-technical audiences; strong communication.
Preferred
- MS/MBA/PhD or advanced data science/ML certification.
- Media agency experience (e.g., Havas).
- Hands-on multi-touch attribution (preferably pharma).
- Experience with pharma data/analytics platforms and tools (e.g., IQVIA, Veeva/Salesforce, CM360/SA360, Databricks/Snowflake/Tableau/Qlik/Power BI), and therapeutic area experience.
Benefits
- Wide range of health and wellbeing benefits including at least 14 weeksβ gender-neutral parental leave.