Sr Business Insights Analyst

Key Skills

Cloud computing, Python Programming, SQL

Job Description

Sr Business Insights Analyst

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.

We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Data Science & Analytics team as a Senior Business Insights Analyst, Advanced Analytics. 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.

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 improve decision making while working in an MVP (minimum viable product) model 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 with internal stakeholders to define analytics needs and scope projects ; independently set project priorities

Required experience:

• A. or B.S. (Graduate degree a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
• 5+ 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 multiple cloud data warehouses and knowledge of how to transfer data between them
• 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

The hiring range for this position in location is $112,586 to $151,030 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.