About The Job

Disney Streaming is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Disney Streaming has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we’re looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what this is all about.

Marketing science – a sub-team within marketing analytics at Disney Streaming Services (Hulu, Disney+, ESPN+ and Star) – is in search of an analyst to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role.

What You’ll Do

• Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams

• Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts

• Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results

• Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc)

• Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product

• Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types

Key Qualifications

• 5+ years of experience in a marketing science / analytics role with understanding of measurement and optimization best practices

• Coursework or direct experince in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM)

• Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement

• Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy

• Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions

• Experience in SQL as well as statistical modeling platforms (Python, R, etc)

• Experience with scientific libraries like Numpy, Pandas, or equivalent libraries a plus

Basic Education

• Master’s in Applied Mathematics, Computer Science, Physics, Statistics, Economics or related degree; Ph.D

Additional Information

DISNEYTECH

Just like the best ensemble casts of our favorite shows, Disney Streaming embraces diversity and is an inclusive environment. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We are proud to be an Equal Opportunity Employer.