Data Analyst

at  Disney

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

ABOUT THE ROLE & TEAM

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.