Associate Director, Channel Analytics, CNS

About the Role

Key Responsibilities

• Lead marketing mix modeling (MMM) efforts to measure and optimize the impact of promotional investments across various channels (HCP, DTC, digital, non-personal promotion, etc.).
• Develop and refine multi-touch attribution models and other advanced analytics frameworks to assess channel effectiveness.
• Monitor omnichannel performance, evaluating engagement and conversion metrics to inform future campaign strategies.
• Partner with media teams to analyze paid, earned, and owned media performance and recommend budget allocation strategies.
• Provide data-driven recommendations to marketing and brand teams on the most effective channels and tactics to improve customer engagement and business performance.
• Work cross-functionally to integrate marketing analytics into brand planning, forecasting, and strategic decision-making.
• Conduct scenario planning and sensitivity analysis to assess potential outcomes of different marketing strategies.
• Evaluate customer and campaign segmentation to ensure efficient targeting and resource allocation.
• Act as a strategic thought partner to marketing, sales, and finance teams, translating analytics into business impact.
• Work closely with data science, data engineering, and external analytics vendors to refine models and methodologies.
• Present insights and recommendations to senior leadership in a clear, compelling manner.
• Ensure alignment with commercial strategy and industry best practices.

Requirements

• 7+ years of experience in marketing analytics, marketing mix modeling, or channel performance analytics.
• Strong expertise in statistical modeling, attribution modeling, and media effectiveness measurement.
• Proficiency in analytics tools such as Python, R, SAS, SQL, or data visualization platforms (Tableau, Power BI).
• Deep understanding of omnichannel marketing and media measurement, including digital, HCP, and DTC strategies.
• Ability to translate complex data insights into clear business recommendations.
• Strong stakeholder management and presentation skills.

Nice to Have

• Experience in the pharmaceutical, biotech, or healthcare industry.
• Knowledge of advanced AI/ML techniques for marketing analytics.
• Familiarity with third-party data sources (IQVIA, Symphony Health, Nielsen, etc.).

Qualifications

• Bachelor's degree in a quantitative field (e.g., Economics, Statistics, Data Science, Business, Marketing Analytics).

Benefits & Perks

• Comprehensive medical, dental, vision, prescription drug coverage.
• Company-provided basic life, accidental death & dismemberment, short-term and long-term disability insurance.
• Tuition reimbursement, student loan assistance.
• A generous 401(k) match.
• Flexible time off, paid holidays, and paid leave programs.
• Other company-provided benefits.