Marketing Data Science & Analytics Manager

About the Role

Key Responsibilities

• Lead end-to-end analysis of marketing campaigns, media mix, and acquisition strategies using statistical or experimental methods such as regression modeling, time-series analysis, geo-experimentation, and causal inference.
• 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 narratives on the "why" behind acquisition growth, integrating 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 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.

Qualifications

• Bachelor's or Master's degree in Statistics, Data Science, Economics, Computer Science, or a related field (preferred but not mandatory).

Benefits & Perks

• Annual discretionary bonus
• Medical, dental, and vision insurance
• 401(k) plan
• Paid time off
• Other benefits in accordance with applicable plan documents
• Benefits for Union represented employees in accordance with the applicable collective bargaining agreement