Marketing Data Science & Analytics Manager (R50029714)

About the Role

Key Responsibilities

• Lead end-to-end analysis of marketing campaigns, media mix, and acquisition strategies using appropriate statistical or experimental methods (e.g., regression modeling, time-series analysis, geo-experimentation, causal inference, etc.).
• Communicate complex insights clearly and persuasively to senior leadership, providing data-driven recommendations to improve business performance and collaborating with Marketing leads to develop growth strategies.
• Deliver regular (weekly and monthly) narratives on the “why” behind acquisition growth mixing both marketing performance with content and industry trends.
• Develop and implement sophisticated statistical models and forecasting techniques including Match Market Test (MMT), Marketing Mix Modeling (MMM), and Multi-Touch Attribution (MTA) to evaluate marketing performance, predict outcomes, and optimize marketing investments.
• Build or oversee the creation of interactive dashboards and automated performance reporting using tools like Tableau, Snowflake, dbt, and SQL.
• Develop automated dashboards and reporting mechanisms to track real-time performance.
• Prepare regular reports and presentations for senior leadership, highlighting achievements, insights, and areas for improvement.
• Partner as the key stakeholder for Martech operations to streamline data collection and metric definitions from various sources, ensuring accuracy and efficiency.
• Integrate AI tools and automation to streamline insight delivery.
• Manage and mentor an analytics operations analyst, fostering a culture of continuous improvement and high performance.

Requirements

• 10+ years of experience in data science, marketing analytics, or performance measurement.
• Deep understanding of digital and traditional offline media metrics, attribution challenges, and customer acquisition funnels.
• Experience developing and working with marketing measurement solutions, including MMM and MTA models, geo tests, incrementality studies, causal inference, forecasting, LTV, churn, and segmentation.
• Proficient in SQL or statistical programming (e.g., Python, R) for building models and conducting exploratory analysis.
• Proven success translating complex data into executive-ready insights.
• Strong cross-functional collaboration skills and ability to work independently with stakeholders at all levels.

Nice to Have

• Experience in subscription, streaming, or media companies or agency supporting such companies.
• Bachelor's or Master's degree in Statistics, Data Science, Economics, Computer Science, or a related quantitative field.

Benefits & Perks

• Annual salary range of $143,000.00-170,000.00 depending on education, skills, and experience.
• Eligible for an annual discretionary bonus.
• Various benefits including medical/dental/vision insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.
• Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.