Job Description
About the Role & Team
We are looking for a Senior Analyst to join the Disney+ Local Analytics team, part of the EMEA Insights & Analytics department. The purpose of this role is to gain an in-depth understanding of local customer behaviours, content preferences, and acquisition and retention insights, particularly in South Europe & Middle East and Africa (Spain, France, Italy, Turkey, South Africa, Israel and Middle East). The role involves in-depth collaboration with local business teams across the region, to provide actionable insights addressing local market nuances & challenges, while working in the regional Analytics team to benefit from standard processes, opportunities to improve technical skills, and support regional and global exposure as well as career development.
This role will require you to be onsite 4 days a week.
What You Will Do
• Identify and prioritise local insight needs via collaborative and transparent road-mapping and opportunity sizing process
• Be the ''go-to'' person for local business performance metrics, and the conduit to socialise regional and global insights with teams in market
• Support training of local teams to adopt self-serve and interpret data insights
• Shed light on local content preferences and customer behaviours, e.g. by measuring impact of content launches on acquisition and retention, tracking and evolving drivers of churn, crafting local audience cohorts (all within global/regional framework)
• Scope out and implement local tests across merchandising, customer comms, acquisition and retention campaign evaluation - in close partnership with local and global teams. Developing test plans, defining success metrics, and ensuring robust statistical results
• Support analysis of marketing campaigns, working in conjunction with regional team and third party marketing effectiveness agency
• Localise analysis on global / regional projects which are rolled out across markets
Required Qualifications & Skills
• Strong analytical experience
• Bachelor's degree in a quantitative field such as STEM, Statistics, Data Science, Economics, Management, Marketing or Social Science. Graduate degree or equivalent experience preferred.
• Advanced SQL skills and experience; Python/R and other statistical programming language experience preferred
• Background in data visualization and dashboard development (e.g. Tableau, Power BI, Looker)
• Strong understanding of statistics concepts (e.g., propensity modelling, hypothesis testing, regression analysis)
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.
We will ensure that individuals with disabilities are provided the necessary accommodations to participate in the job application or interview process, to perform essential job functions, and to receive all benefits of employment. Please contact us to request accommodation.
This position is with The Walt Disney Company Limited, which is part of a business we call The Walt Disney Company (EMEA).
The Walt Disney Company Limited is an equal opportunity employer. Applicants will receive consideration for employment without regard to age, race, colour, religion or belief, sex, nationality, ethnic or national origin, sexual orientation, gender reassignment, marital or civil partner status, disability or pregnancy or maternity. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
Jobcode: Reference SBJ-g3574n-3-142-198-148-42 in your application.