At a Glance
- Tasks: Deliver high-quality analysis and insights to inform commercial decisions.
- Company: Join Skydance, a next-gen media and entertainment powerhouse.
- Benefits: Hybrid work model, competitive salary, and diverse team culture.
- Other info: Embrace diversity and innovation in a dynamic work environment.
- Why this job: Be part of a creative team shaping the future of storytelling.
- Qualifications: Experience in data analysis, SQL, and dashboard creation.
The predicted salary is between 36900 - 45100 £ 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. Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day. If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard.
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.
Hybrid 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. Subject to any applicable laws, Skydance / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you.
About Skydance: Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.
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. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Data Analyst in Vauxhall 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 in Vauxhall
✨Get Involved in Data Science Meetups
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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 Rock Steady.
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We think you need these skills to ace Data Analyst in Vauxhall
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.
