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.

Responsibilities:

• 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.

Requirements:

• 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.