Senior Data Analyst, Marketing Analytics

The Walt Disney Company (EMEA)
London
1 month ago
Applications closed

Related Jobs

View all jobs

EMEA Strategic Account Manager

Data Science Analyst

Manager - Credit and Strategy Analysis

Senior Data Analyst / Business Analyst

Senior Data Analyst / Business Analyst

Senior Data Engineering Manager

Job Summary:

About the Role & Team

This role will require you to be onsite 4 days a week.

Disney+ is The Walt Disney Company’s new Direct to Consumer video entertainment service targeted to families. 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 (. televisions, mobile devices).

The Disney+ team is responsible for the roll out and ongoing performance and operations of Disney+ across EMEA, specifically focused on programming strategy, marketing, customer acquisition and retention, partnerships, research, and analytics. 

We are looking for an enthusiastic Senior Analyst to join our Disney+ EMEA Analytics & Insights team with expertise in Marketing Analytics. This role will be pivotal in helping us evaluate strategic marketing initiatives to drive acquisition and improve retention for our EMEA Disney+ business. 

This role will leverage excellent technical, storytelling and communication skills, as well as the ability to work cross-functionally to identify business needs and deliver marketing insights across EMEA. 

What You Will Do

Collaborate closely with cross-functional teams including Marketing, Finance and Research to identify key measurement opportunities across markets and build marketing measurement roadmaps. 

Drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation and Geo Testing to understand the incremental impact of our marketing investments. 

Partner with internal Analytics teams globally on model alignment and on-going development of marketing measurement methodologies. 

Provide impactful recommendations and strategic guidance on media mix optimisations to influence budget allocation for future marketing campaigns. 

Liaise closely with third-party media owners and be across past and upcoming media plans. 

Required Qualifications & Skills

Experience as a Marketing Analyst, Data Scientist or similar. 

Proven experience and strong knowledge of regression analysis including MMM, A/B tests and other statistical modelling techniques. 

Excellent proficiency in SQL and working with data warehousing technologies (. Snowflake). 

Ability to use data visualisation tools such as Looker/Tableau. 

Proficiency in Python or R. 

Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. 

Strong clarity of communication. 

Excellent stakeholder management with proven experience of effectively engaging with senior stakeholders. 

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.