Senior Analyst, Content Analytics (FTC)

at  Disney

REQUIRED QUALIFICATIONS & SKILLS

• Comprehensive experience in analytical insights.
• Extensive experience using SQL is essential.
• Proven analytical mindset, with the ability to QA others’ work and ensure consistent and robust work is delivered, being able to draw on the wide range of analytical tools and types of insight available.
• Experience in data visualization and dashboard development e.g. Looker or Tableau.
• Excellent relationship management skills, with the ability to effectively convey complex analytical concepts to non-technical audiences.

PREFERRED QUALIFICATIONS

• Bachelor’s degree or equivalent experience in a quantitative field including Marketing, Economics, Business, Mathematics, Statistics, Data Science, Engineering, Physics, Chemistry or Social Science graduate degree -preferred.
• Background in Content, Marketing or Product Analytics in the digital or entertainment space is a plus.
• Python/R or other statistical programming language experience a plus.

• Deliver timely analysis and insight to support the Content Programming, Marketing and Product teams in EMEA in order to gain a deep understanding of content performance. This will be achieved through proactive identification of opportunities and applying the right tools and techniques for each piece of analysis.
• Utilise diverse analytics methodologies and models to understand user behaviour and content performance.
• Present clear results with insights, related implications and actions to a variety of internal partners.
• Develop and maintain dashboards, reports, and visualisations to monitor metrics and provide regular updates on content performance to partners.
• Support training of teams to embrace self-serve and interpret data insights, encouraging a data-led decision making mentality.
• Be proactive in spotting opportunities to improve processes and crafting new ones, acknowledging opportunities when automatable scalable solutions are required and when one off analytics is best placed.
• Develop relationships across the Analytics and business teams at regional and local level, in particular the Programming team, as well as with Analytics teams internationally to align on key priorities and targets.
• Closely manage requests coming through, collaborating with partners to deliver analysis in a timely, impactful manner.