Job Location: New York, NY
Job Summary
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.
Responsibilities
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Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams
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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
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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
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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)
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Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product
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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
Basic Qualifications
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5+ years of experience in a marketing science / analytics role with understanding of measurement and optimization best practices
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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)
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Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement
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Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy
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Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions
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Experience in SQL as well as statistical modeling platforms (Python, R, etc)
Basic Education
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BA/BS in a quantitative discipline
Additional Information
DISNEYTECH
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