At a Glance
- Tasks: Champion data-driven decisions and deliver actionable insights for strategic objectives.
- Company: Join a leading music company with a focus on innovation and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Make an impact in the music industry by leveraging data and AI tools.
- Qualifications: 5+ years in the music business, strong communication skills, and expertise in data analysis.
The predicted salary is between 50000 - 70000 £ per year.
A little bit about our team: The Data & Insight team works with the Frontline & Catalogue labels, Commercial & Finance teams on track & artist performance and strategy, partner & competitor performance analysis, market trends, risks & opportunities. As part of a team or solo, the role delivers timely, clear and actionable insight and recommendations.
Your role: Championing data‑led decision making, this position requires a blend of technical expertise, market knowledge, and the ability to translate complex data sets into clear, impactful narratives. You will explore and leverage AI/Generative AI tools to streamline workflow, enhance data visualization, and improve strategic storytelling.
Day to Day:
- Anticipate stakeholder needs and provide data‑driven solutions to support their strategic objectives.
- Visualize KPIs related to artist performance, track consumption, market share, and marketing/promotional effectiveness.
- Develop and deliver tailored presentations to senior management, adapting complexity to the audience, and utilizing Generative AI tools where appropriate.
- Provide insights that inform long‑term strategic planning and shape artist development and marketing strategies.
Dashboard Development & Maintenance:
- Use WMG internal systems such as Opus, Sodatone, Tableau & Snowflake to interpret sales, pre‑order & streaming data.
- Interrogate external partner interfaces from Amazon, Apple, Spotify and YouTube, as well as external websites such as OCC, BPI, Midia & ChartMetric.
- Design, build, and maintain insightful and user‑friendly dashboards that bring together these data sources to provide actionable insights.
- Ensure data accuracy and timely updates of all dashboards.
- Proactively find opportunities to improve existing dashboards and develop new analytical tools, including low‑code/AI‑assisted workflow automations.
Market Analysis:
- Continuously monitor and analyze market trends, competitor performance and consumer behavior.
- Identify shifts in consumption patterns, genre popularity, and emerging opportunities or risks.
- Provide regular reports and presentations on market dynamics.
Cross‑Functional Collaboration:
- Integrate data‑driven insights on artist streaming & social performance, audience demographics, and potential reach into strategic recommendations.
About you:
- At least 5 years of experience working in a record label, platform, or company affiliated to the music business.
- Strong written and verbal communication skills.
- Highly organized and detail‑oriented with the ability to manage multiple projects and prioritize effectively.
- Familiarity with foundational AI/Generative AI concepts (e.g., LLMs, prompt engineering) and experience using these tools to optimize data preparation, summarization, and presentation.
- Expert knowledge of Excel/Sheets, PowerPoint/Slides, SQL, and dashboarding platforms (Tableau/Looker).
We’d love it if you also had:
- Proficiency in Python for data analysis and automation.
This position requires a minimum of 4 days per week in the office. WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal‑opportunity workplace and will evaluate qualified applicants without regard to race, religion or belief, age, sex, sexual orientation, gender, gender identity or gender reassignment, marital or civil partnership status, disability, pregnancy, childbirth or any other characteristic protected by law.
Senior Data Analyst in London employer: SwiftCruit
At WMG, we pride ourselves on fostering a dynamic and inclusive work environment where creativity and data-driven decision-making thrive. As a Senior Data Analyst, you will have the opportunity to collaborate with diverse teams, leverage cutting-edge AI tools, and contribute to strategic insights that shape the future of the music industry. With a strong commitment to employee growth and a culture that values innovation, WMG is an excellent employer for those seeking meaningful and rewarding careers in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Analyst in London
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 SwiftCruit, 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 SwiftCruit. 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 SwiftCruit
✨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!
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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
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✨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.
