At a Glance
- Tasks: Analyse data to uncover trends and insights that drive decision-making.
- Company: Join Skydance, a cutting-edge global media and entertainment company.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for growth.
- Other info: Diverse and inclusive workplace with a focus on innovation.
- Why this job: Be part of a creative team shaping the future of storytelling.
- Qualifications: Experience in data analysis with skills in SQL, Excel, Python, or R.
The predicted salary is between 31500 - 38500 £ per year.
Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.
Your New Role… We are looking for the Data Analyst who will play a key role in delivering high-quality analysis, reporting and insight across the Audiences & Data function. Working closely with the Advanced Analytics Lead, this role supports the development and delivery of statistical analysis, analytical models and insight outputs that inform commercial decision-making.
Your Role Accountabilities…
- Own the delivery of day‑to‑day analysis and insight, translating business questions into structured analytical outputs.
- Analyse large, multi‑source datasets to identify trends, patterns and performance drivers.
- Support the execution of advanced analytical models (e.g. regression, segmentation, multivariate analysis) led by the Advanced Analytics Lead.
- Prepare, clean and validate datasets used in modelling work, proactively identifying data quality issues or inconsistencies.
- Build and maintain dashboards and reporting outputs using tools such as Power BI, Looker or similar.
- Work closely with insights, commercial and product teams to understand analytical needs.
Qualifications & Experience…
- Experience in a data analyst, analytics or insight role.
- Working knowledge of SQL and experience analysing data using Excel, Python and/or R.
- Experience creating dashboards or visualisations using tools such as Power BI, Looker, Tableau or similar.
- Exposure to statistical modelling techniques (e.g. regression, segmentation, factor analysis).
- Experience working with survey, audience, marketing or perception data.
- Familiarity with media, advertising, brand or marketing effectiveness analytics.
- Experience working with cloud-based data platforms.
#CCEHybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager.
About Skydance Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media.
Some Important Details We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit.
Data Analyst employer: Rock Steady
WBD is an exceptional employer that fosters a vibrant work culture, offering career-defining opportunities and thoughtfully curated benefits to support your growth. With state-of-the-art facilities in the heart of Soho, employees enjoy a dynamic environment where creativity meets technology, ensuring that every team member can thrive while contributing to world-class post-production experiences. Join us to be part of a diverse team that values inclusion and innovation, empowering you to explore your potential in a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 Rock Steady!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Rock Steady.
✨Leverage Professional Networks
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 Rock Steady.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Rock Steady, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
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!
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 Rock Steady, 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 you’re 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 Rock Steady. 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 Rock Steady
✨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!
✨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, it’ll really make us stand out!
✨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 Rock Steady!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d 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.
