Responsibilities

• Drive Analytics Execution and Client Value
• Lead the execution of the decision sciences, audience insights, and measurement roadmap in alignment with client objectives and growth goals.
• Translate business and media objectives into measurable analytics programs and decision frameworks.
• Lead high-value use cases, including incrementality, attribution, optimization, segmentation, and audience intelligence.
• Deliver decision-ready insights that help clients make smarter, more effective media and investment decisions.
• Identify technology, data, and tooling gaps and recommend solutions that improve workflow efficiency and elevate the quality of insights.
• Balance strategic priorities with day-to-day project execution, ensuring high-quality deliverables are delivered on time.
• Shape Analytics Products and Client Offerings
• Identify and develop analytics-driven offerings that differentiate the agency and create meaningful client value.
• Help advance capabilities such as attribution models, audience insights, real-time optimization signals, and measurement solutions.

Requirements

• Bachelor’s or Master’s degree in Statistics, Data Science, Econometrics, or a related quantitative discipline.
• At least 5 years of experience applying statistical and machine learning techniques within pharmaceutical marketing, healthcare, or direct-to-consumer environments.
• Deep familiarity with pharmaceutical data sources such as IQVIA, Symphony, and PurpleLab.
• Strong understanding of healthcare data privacy, regulatory requirements, HIPAA, and responsible data-use frameworks.
• Proven experience with campaign impact modeling, multi-touch attribution, marketing mix modeling, media optimization, and audience segmentation in regulated environments.
• Proficiency in one or more of the following: Python, SQL, R, or SAS.
• A strong foundation in statistics, experimental design, causal inference, and quantitative methodology.
• The ability to turn sophisticated analytics into practical, strategic recommendations.
• Exceptional stakeholder management, communication, and presentation skills, with confidence engaging cross-functional partners and senior client leaders.
• Experience managing direct reports, project teams, or complex analytics initiatives.