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Sr Business Insights Analyst
Company | The Walt Disney Company |
Address | Santa Monica, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Entertainment Providers |
Expires | 2023-08-11 |
Posted at | 10 months ago |
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:
- Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties.
- 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.
- Analyzing the performance of models in real-world campaigns and collaborating with the audience modeling team to optimize and refine the models.
- Balance business timelines with scientific rigor to improve decision making while working in an MVP (minimum viable product) model environment
- Help grow a multichannel advertising technology capability by leveraging internal and external datasets to expand our reach within and across platforms
- Build reporting tools to enable self-service for sales teams
- Work with internal stakeholders to define analytics needs and scope projects ; independently set project priorities
- 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
- Review results from and provide feedback on controlled experiments to test hypotheses and improve best practices across the organization
- Experience with multiple cloud data warehouses and knowledge of how to transfer data between them
- 5+ years of experience driving measurable results (monetization, engagement) with digital products across various business models
- Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious)
- 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
- B.A. or B.S. (Graduate degree a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
- Ability to confidently translate quantitative analyses into compelling and actionable recommendations
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