Our current hybrid working policy requires you to work from our Hammersmith office 4 days per week and 1 day from home.

Disney+ is The Walt Disney Company’s Direct-to-Consumer video entertainment service, offering premium branded content alongside a broad general entertainment library, appealing to families and adults alike. The service consists of long form and short form video built around six key content brands (Disney, Pixar, Marvel, Star Wars, National Geographic, and Star) with an appealing and easy-to-use interface accessed across multiple platforms (e.g., smart TVs, mobile devices).

The Disney+ team in EMEA is responsible for the ongoing performance, operations, and growth of Disney+ across Europe, the Middle East, and Africa, focusing on marketing, customer acquisition and retention, partnerships and synergy, content programming, research, and analytics.

We are looking for a highly skilled and detailed analyst to join our Disney+ Analytics & Insights EMEA team working in London; with a focus on designing, developing, and maintaining our key data models and analytics solutions. You will collaborate across the Analytics & Insights team and with key stakeholders to gather requirements, implement data pipelines, ensure data accuracy, integrity, and availability, with the end goal of developing self-service solutions. The Analyst will also contribute to the delivery of timely insights to inform initiatives across Disney+ EMEA, supporting regular reporting and creation of self-serve solutions.

This is a pivotal role within the Disney+ business, which will drive our self-serve capability and enable the democratization of insights generation that will directly influence business decisions and action plans across the region.

What You Will Do

1. Design, develop, and maintain scalable data pipelines to collect, process, and transform data from various sources into usable formats for analysis.
2. Collaborate with stakeholders, including the A&I team and business users, to understand their data requirements and translate them into technical specifications.
3. Implement data models, schemas, and ETL workflows to support data analysis, reporting, and visualization needs.
4. Develop and optimize SQL queries to extract and manipulate large datasets efficiently.
5. Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
6. Develop and maintain dashboards, reports, and visualizations to monitor key metrics and provide regular updates on performance to stakeholders.
7. Assist in automating processes that are currently manual.

Required Qualifications & Skills

• Experience as an Analytics Engineer, Data Engineer, Analytical Insight professional, or similar.
• Experience in data pipeline and data model development.
• Ability to translate requirements into efficient, robust, scalable solutions.
• Proficiency in SQL and data warehousing technologies such as Snowflake and Databricks.
• Knowledge of orchestration and version control tools such as GitHub.
• Deep knowledge of data visualization tools like Looker or Tableau.
• Programming skills, especially in Python.
• Collaborative working style with a desire to share knowledge and enable team success.
• Positive, enthusiastic, and team-oriented attitude.
• Attention to detail to ensure data accuracy, consistency, and integrity.
• Ability to adapt to changing needs while meeting deadlines.
• Drive to improve processes and outcomes.

The Perks

• 25 days of annual leave.
• Private medical insurance & dental care.
• Free park entry for you and your family and friends.
• Disney discounts on products, resort F&B, and tickets.
• Excellent parental and guardian leave policies.
• Employee Resource Groups including WOMEN @ Disney, Disney DIVERSITY, Disney PRIDE, ENABLED, and our Mental Health & Wellbeing Group, TRUST.

The Walt Disney Company is an Equal Opportunity Employer. We strive to be a diverse workforce that is representative of our audiences, and where all can thrive and belong. Disney is committed to including and respecting a variety of voices, identities, backgrounds, experiences, and perspectives.