Performance Marketing Analytics Manager

  • The Walt Disney Company
  • New York, NY, USA
  • Feb 20, 2019
Full-time Big Data Business Analytics Data Analysis Data Modeling Digital Media ETL Forecasting Market Research Quantitative Statistics

Job Description

At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.

The Customer Acquisition team is tasked with driving new subscriber growth. The team is responsible for the planning, execution and optimization of user acquisition and performance marketing campaigns. The Manager of Performance Marketing Analytics will play a critical role in supporting the Paid media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources and help identify opportunities, inform media buying, optimize throughout the conversion funnel and ensure all media dollars are invested optimally. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel. The ideal candidate should have a strong understanding of statistical modelling and knowledge of at least 1 programming language.


  • Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand their analytics needs and set the roadmap for analytics work
  • Develop and maintain key analyses around our marketing funnel, subscriber LTV and churn; report out results to broader organization
  • Design and implement data processes (e.g. ELT, ETL) that ensure data hygiene
  • Collaborate with marketing, data analysts and data scientists to design and build models for advertising optimization and budget allocation
  • Perform Audience level analysis to improve targeting and effectiveness of campaigns
  • Develop algorithms based on statistical analysis and predictive data modeling to identify trends
  • Mine internal user and response data to develop targeting models, decision rules and response/ROI forecasting
  • Monitor & analyze performance data across channels, tactics, partners & individual ad networks to ensure budget is optimized to deliver highest ROI
  • Manage user acquisition data tracking integrations both internally and with third parties
  • Partner with internal analytics & data engineering teams to develop a data strategy roadmap to fully optimize & operationalize acquisition data sources
  • Identify opportunities for data enhancement and appends utilizing internal and external resources

Basic Qualifications:

  • 5+ years of experience within digital marketing/data analytics
  • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
  • Experience with API’s and other data extraction/load methodologies
  • Deep experience with SQL and data transformations
  • Deep experience with programming and data science languages, such as Python, R, etc.
  • Deep experience with statistical modelling
  • Familiarity with multi-touch attribution and mobile app analytics
  • Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
  • Strong expertise in the digital media ecosystem including ad serving & reporting tools
  • (DoubleClick/DART essential), media platforms (DBM, Google Search, Adwords,
  • Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
  • Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results in each
  • Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
  • Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, Splunk, Mode, etc…)
  • Ability to work in a fast-paced environment with excellent organizational and multitasking skills to manage multiple projects and tasks effectively
  • Strong initiative, sound attention to detail and ability to think strategically
  • Excellent communication, presentation, and visual reporting skills
  • Sense of humor and desire to have fun!

Preferred Qualifications:

  • Advanced (Master’s Degree or higher) in Statistics, Marketing Analytics, or other Quantitative fields
  • Experience desired in the OTT space, streaming media industry or other subscriptionbased service

Required Education: 

  • Bachelor’s Degree in statistics or other quantitative field

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