From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy.

We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Data Science & Analytics team as an Advanced Analytics Analyst. In this role, you will be responsible for driving improvements across Disney Advertising’s portfolio of offerings by using data. Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line!

Supporting the Disney Advertising Sales organization within Entertainment and Sports, the Data Science & Analytics team are subject matter experts in each of the following areas:

• Creating and optimizing audience segmentation models that enable us to target specific audiences based on brand affinities, app behavior, and video viewership among other things
• Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties
• Analyzing the performance of models in real-world campaigns and collaborating with the audience modeling team to optimize and refine the models.

What You Will Do

• Enable data-driven analytic capabilities in a multichannel advertising environment that leverage internal and external datasets (via SQL and other analytic tools) to generate insights that inform business processes and ad products.
• Work with cross-functional stakeholders to define and script analytics needs, scope projects, and build/create new analytics capabilities using SQL, R, Tableau, and/or other visualization tools for the purpose of driving business-critical decisions and optimizations. Create automated tools that enable the team to analyze and review results from controlled experiments (A/B tests), test hypotheses, calculate statistical significance, improve targeting best practices, and optimize segmentation.
• Use SQL and other statistical analysis tools (e.g. Python or R) to analyze big data sets representing millions of users to understand user behavior and identify key characteristics that inform the creation of new audience segments and expand the reach of our advertising within and across platforms.
• Balance business timelines with scientific rigor in statistical analysis to improve business decision making and priorities for the team roadmap.
• Build reporting tools and data pipelines using SQL, Python, and other internal tools to enable self-service for sales teams. Communicate the results of analyses with business-stakeholders.

Required Qualifications & Skills

• B.A. or B.S. degree in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
• 3+ years of experience driving measurable results (monetization, engagement) with digital products across various business models
• Experience with SQL, complex, large-scale relational databases, statistical programs, and other tools with the ability to learn other technical applications quickly to compile and interpret quantitative data
• Experience building complex visualizations (Tableau and Looker a plus)
• Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious)
• Ability to confidently translate quantitative analyses into compelling and actionable recommendations
• Great communication skills

Preferred Qualifications

• Advanced/graduate degree in a quantitative field
• Experience in SAS, Python, R, or any scripting language