At a Glance
- Tasks: Lead data systems and collaborate with teams to create impactful media applications.
- Company: Join the iconic Walt Disney Company in a vibrant London setting.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Other info: Be part of a creative team in a dynamic and supportive environment.
- Why this job: Shape the future of data-driven media and make a difference at Disney.
- Qualifications: Experience in data engineering and a passion for analytics.
The predicted salary is between 60000 - 80000 Β£ per year.
The Walt Disney Company in London (Hammersmith) seeks a Senior Data & Analytics Engineer to guide end-to-end data systems across markets.
This hybrid role requires onsite work four days a week with one remote day, coordinating with Disney Entertainment & ESPN Product & Technology teams to deliver data-driven media applications.
You will champion data literacy, ensure data quality and build a roadmap aligned with business priorities, enabling informed decisions and measurable outcomes.
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StudySmarter Expert Adviceπ€«
We think this is how you could land Senior Data & Analytics Engineer β Hybrid (London) in City of Westminster
β¨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Walt Disney Company!
β¨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Walt Disney Company.
β¨Apply Directly through Our Website
When you find a suitable opening like Senior Data & Analytics Engineer β Hybrid (London) at The Walt Disney Company, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesnβt love a direct application? Itβs easier than navigating through job boards!
We think you need these skills to ace Senior Data & Analytics Engineer β Hybrid (London) in City of Westminster
Some tips for your application π«‘
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. Donβt forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The Walt Disney Company, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youβre a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Walt Disney Company. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Walt Disney Company
β¨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
β¨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, itβll really make us stand out!
β¨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Walt Disney Company!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.