data analyst in the music industry

Universal Music Group is a leading music company operating across A&R, finance, legal, digital, sales and marketing. Universal Music UK supports artists, labels and central teams through data, AI and technology initiatives.

• Support artists and labels across the business in collaboration with the Data & AI team;
• Lead data strategy at a label level as a senior voice within the team;
• Support strategic research with data and audience insight;
• Research and develop data-driven solutions for current and future business problems;
• Use partner data to extract key metrics and provide feedback to label teams;
• Advise on data-related topics to guide business decisions;
• Source, clean and prepare data for modelling, product creation and visualisation;
• Develop datasets and features that become integral to business operations;
• Deliver analysis, reporting and measurement to solve business problems across Universal Music UK;
• Work with stakeholders to define business questions and turn complex data into clear, actionable insight;
• Collaborate with data scientists, engineers, product managers and business teams to improve performance measurement, audience understanding and opportunity identification;
• Shape insight, reporting and data products that support the labels.

• Translate complex datasets into clear, actionable insight;
• Apply a creative and commercially minded approach to problem-solving;
• Demonstrate strong stakeholder engagement, management and communication skills;
• Lead analytical projects from idea through delivery and adoption;
• Have advanced SQL skills and experience querying large datasets accurately and efficiently;
• Have experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS;
• Build dashboards, reporting products and self-serve insight tools;
• Understand data modelling, ETL/ELT processes and data quality;
• Have working knowledge of Python or another programming language for analysis;
• Be familiar with Git, version control and modern analytics workflows;
• Understand AI and machine learning concepts and their practical application;
• Mentor others and raise the quality of analytical work across a team;
• Have at least 4 years’ experience in a data analyst, analytics or related role;
• Engage stakeholders in a consultative or analytical capacity;
• Lead analysis that informs business decisions and product development;
• Work with engineering, data science or product teams to turn analysis into scalable tools, reporting or data products;
• Hold a degree in a relevant field or have equivalent practical experience;
• Nice to have: Knowledge of music repertoire, a background in Mathematics, Statistics, Computer Science, Physics, Economics, Data Science or a similarly analytical discipline.

• No conditions specified