At a Glance
- Tasks: Analyse subscriber data and develop insights to drive business decisions.
- Company: Join the iconic Walt Disney Company in a dynamic role.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and strategy.
- Why this job: Make a real impact on Disney+ growth across EMEA.
- Qualifications: Strong analytical skills and effective communication abilities.
The predicted salary is between 50000 - 65000 £ per year.
The Walt Disney Company Limited is looking for a Senior Analyst to join the Subscriber Growth analytics team in London. This pivotal role involves analyzing subscriber data, developing insights, and providing recommendations that directly influence business decisions across Europe, the Middle East, and Africa.
The successful candidate will utilize their strong analytical and communication skills to collaborate with business partners, design experiments, and maintain performance dashboards, contributing to the overall growth strategy of Disney+.
Growth Analytics: Senior Analyst, EMEA — Hybrid in London employer: 2004 The Walt Disney Company Limited
The Walt Disney Company Limited is an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. Employees benefit from comprehensive growth opportunities, including professional development programmes and the chance to work on impactful projects that shape the future of Disney+. With a commitment to innovation and a supportive environment, this role in the Subscriber Growth analytics team promises a rewarding career path for those passionate about data-driven decision-making.
Contact Details:
2004 The Walt Disney Company Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Growth Analytics: Senior Analyst, EMEA — Hybrid in London
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We think you need these skills to ace Growth Analytics: Senior Analyst, EMEA — Hybrid in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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