Responsibilities

• Serve as the primary technical expert for advanced analytics, leading the development and application of new methodologies for ROI measurement, experimentation, and audience activation.
• Design and execute statistically rigorous experiments (e.g., A/B tests, multi-cell tests) to evaluate media and marketing effectiveness.
• Lead the use of clean rooms and privacy-safe environments (e.g., AMC, LiveRamp, Scintilla) for data integration, measurement, and activation.
• Advance the organization’s capabilities in causal inference, incrementality measurement, and advanced statistical modeling.
• Collaborate with cross-functional teams (media, data engineering, marketing, external partners) to ensure analytics solutions are actionable and aligned with business objectives.
• Translate complex analytics into clear, actionable insights for stakeholders.
• Mentor and develop junior analytics talent, fostering a culture of technical excellence and innovation.
• Works with Data Engineering (for model deployment and data integration) and Performance Analytics (for applying methodologies and interpreting results). Does not own dashboard curation or routine reporting.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, or a related field.
• 6+ years of experience in advanced analytics, data science, or a related field.
• Deep hands-on expertise in statistical modeling, experimental design, and causal inference.
• Proficiency with Python, R, or similar analytics programming languages.
• Experience with clean room environments and privacy-safe data integration for measurement and activation.
• Demonstrated ability to design and execute robust ROI analyses and experiments.
• Strong communication skills, with the ability to translate technical findings for non-technical audiences.

Preferred

• Experience with media and marketing analytics in a consumer goods or digital environment.
• Familiarity with cloud data platforms (e.g., AWS, GCP, Azure) and advanced analytics tools.
• Experience with audience segmentation and activation in privacy-safe environments.
• Master’s or PhD in a quantitative discipline.
• Experience mentoring or leading analytics teams.

Benefits

• health insurance (including prescription drug, dental, and vision coverage)
• retirement savings benefits
• life insurance and disability benefits
• parantal leave
• sick leave
• paid vacation and holidays
• access to numerous voluntary benefits