Supporting the Disney Advertising Sales organization within our new Disney Media & Entertainment Distribution (DMED) segment, the Audience Modeling and Data Solutions 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.

We're looking for an intellectually curious, business-savvy, analytical powerhouse to join the Audience Modeling and Data Solutions team as an Analyst for Advanced Analytics. In this role, you will be responsible for driving improvements across DMED'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.
Responsibilities :

• Help grow a multichannel advertising technology capability by leveraging internal and external datasets to expand our reach within and across platforms
• Analyze complex data sets representing millions of users to understand user behavior and identify key characteristics of groups of users to better define audience segments
• Balance business timelines with scientific rigor to inform decision making in a fast-paced environment
• Review results from and provide feedback on controlled experiments to test hypotheses and improve best practices across the organization
• Build reporting tools to enable self-service for sales teams
• Work directly with internal stakeholders to define analytics needs and scope projects

Basic Qualifications :

• 3+ years of experience driving measurable results (monetization, engagement) with digital products across various business models
• Experience with complex, large-scale relational databases, statistical programs, and other tools (SQL, SAS, R, etc.) with an aptitude to learn other technical applications quickly to compile and interpret quantitative data
• Experience with cloud data warehouses 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
• Experience building complex visualizations (Tableau, Looker a plus)
• Experience with consumer behavior and insights analysis (transactional and usage)
• Great communication and teamwork skills
• Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus
• Self-motivated with the ability to work independently

#LI-KG2
Required Education :
B.A. or B.S. (graduate degree a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
Additional Information :
DISNEYADSALES