Analyst, Subscriber Growth ID-2517 – Amazon Store

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About The Role & Team

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

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 be collaborating across the Analytics & Insights team and some of our 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, contributing to 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 allow the democratisation of insights generation that will directly feed into business decisions and action plans across the region.

What You Will Do

• Design, develop, and maintain scalable and efficient data pipelines to collect, process, and transform data from various sources into usable formats for analysis.
• Collaborate with stakeholders, including the A&I team, and business users, to understand their data requirements and translate them into technical specifications.
• Implement data models, schemas, and ETL workflows to support data analysis, reporting, and visualization needs.
• Develop and optimize SQL queries to extract and manipulate large datasets efficiently.
• Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
• Develop and maintain dashboards, reports, and visualisations to monitor key metrics and provide regular updates on performance to stakeholders.
• Present crystal-clear results with insights, related implications and actions to a variety of stakeholders.
• Help automate processes that are currently manual.

Required Qualifications & Skills

• Excellent proficiency in SQL is essential
• Experience as an Analytics Engineer, Data Engineer, Analytical Insight or similar.
• Working with data warehousing technologies, such as Snowflake, Databricks and/or dbt
• Experience in data pipeline and data model development.
• Ability to take requirements and build efficient, robust, and scalable solutions.
• Excellent proficiency in SQL and working with data warehousing technologies, such as Snowflake, Databricks and/or dbt
• Knowledge of orchestration and version control tools, such as Airflow and Github
• In-depth knowledge of data visualisation tools, such as Looker or Tableau
• Collaborative working style with desire to share knowledge that enables the entire team
• Positive and collaborative with an enthusiastic attitude; passionate about being a team player
• Detail Orientated to ensure data accuracy, consistency, and integrity.
• Ability to be agile around changing needs, whilst meeting project deadlines
• A demonstrated history of translating complex data sets into clear and actionable stories.

The Perks

• 25 days annual leave
• Private medical insurance & dental care
• Free Park Entry: You will have the opportunity to enter any of our parks with your family and friends for free
• Disney Discounts: you are entitled to discounts on designated Disney products, resort F&B and ticketing
• Excellent parental and guardian leave
• Employee Resource Groups – 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 forming a team that includes and respects a variety of voices, identities, backgrounds, experiences and perspectives.