Disney Entertainment Content needs to deliver impactful data insights that influence strategic decisions shaping the future of television by providing audience and content performance insights.
Requirements
- Experience conducting SQL queries required.
- Advanced knowledge of Excel, PowerPoint and deep knowledge/experience in data exploration and data science
- Ability to capture and translate data and insights via visualization tools (e.g., Tableau, Looker, Alteryx)
- Experience working in “big data” environments (like Snowflake); Proficiency of SQL and an understanding of complex, large-scale relational databases, statistical programs and other tools (SAS, Python, R, etc.)
- Experience with Nielsen (NNTV and NPower) and other content and audience measurement services and tools (WRAP and Lake5)
- Expertise in data exploration and or data science
Responsibilities
- Produce and distribute core reports using first- and second-party data
- Assist in the design, build, and automation of new reports and dashboards
- Conduct exploratory analysis across data sets to illuminate content viewing trends
- Provide a deep and ongoing understanding of content performance and audience preferences across linear and streaming
Other
- 2+ years of experience in media research, data & analytics, or related field including paid internships.
- Strong interest in the content business; a consumer of shows across linear, streaming and social platforms.
- Candidates must reside within a reasonable distance of Burbank, CA, as this position requires onsite presence four days per week.
- Communicates clearly and confidently in cross-functional, matrixed teams across business, insights, analytics, data, and technology
- Able to work independently and manage multiple projects at the same time; skilled in prioritizing competing tasks.
- Demonstrates excellent organizational abilities, keen attention to detail, and a capacity for analyzing data and identifying trends.
- BA/BS Degree in Economics, Statistics, Econometrics, Mathematics, Data Science, Computer Science, or equivalent/related degree is preferred
