Senior Data Analyst

Universal Music Group; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Universal Music Group is seeking a Senior Data Analyst to drive data strategy and deliver actionable insights across artists and labels. You will translate complex data into clear business implications, lead analytics initiatives, and mentor teammates to elevate analytical output.

You will collaborate with Data & AI, engineering and product teams to build scalable dashboards and data products, aiming to give the organisation a competitive edge in engaging global audiences.

Qualifications

• Strong ability to translate complex datasets into clear, actionable insight.
• Creative and commercially minded problem solving.
• Strong stakeholder engagement, management and communication skills.
• Ability to lead analytical projects from idea to delivery and adoption.
• Advanced SQL skills with large datasets.
• Experience with cloud data platforms (BigQuery, GCP, AWS).
• Experience building dashboards and self-serve insights tools.
• Understanding of data modelling, ETL/ELT, and data quality.
• Proficiency in Python or comparable languages.

Responsibilities

• Translate complex data into actionable business insights for artists and labels.
• Lead analytical projects from idea to delivery and adoption.
• Partner with engineering, data science and product teams to build scalable tools.
• Develop data sets and features that power decision making across teams.

Skills

SQL

Data storytelling

Stakeholder management

Project leadership

Data modelling

ETL/ELT

Data quality

Python

Git

AI/ML concepts

Mentoring

Music knowledge

Education

Bachelor's degree or equivalent

Analytical discipline background (Math/Stats/CS)

Tools

BigQuery

Google Cloud Platform

AWS

Dashboard tools

ETL tools

Job description

Senior Data Analyst

Organisation Universal Music Group

Organisation Universal Music Group Locations

London, UK

Application Deadline 24 days remaining

• Working directly with the Data & AI team to support artists & labels across the business.
• Being a senior voice within the team and leading data strategy at a label level.
• Supporting core strategic research with data & audience insight.
• Researching & developing data driven solutions to solve current & future business problems.
• Utilising partner data to pull out key metrics and feeding back to the label teams.
• Advising on data related topics to help guide or inform business decisions.
• Sourcing, cleaning and preparing data for modelling, product creation or visualisation.
• Developing new data sets or features that become integral to how the business operates.

At the heart of this role is a desire to give us a competitive edge in connecting our artists with audiences across the globe. More will be explained at Interview. Rest assured, this is an exciting role as part of an innovative new initiative within the organisation.

Skills

Skills & Experience

• Strong ability to translate complex datasets into clear, actionable insight.
• Creative and commercially minded approach to problem-solving.
• Strong stakeholder engagement, management and communication skills.
• Ability to lead analytical projects from idea through to delivery and adoption.
• Advanced SQL skills with experience querying large datasets accurately and efficiently.
• Experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS.
• Experience building dashboards, reporting products and self-serve insight tools.
• Strong understanding of data modelling, ETL/ELT processes and data quality.
• Working knowledge of Python or another programming language for analysis.
• Familiarity with Git, version control and modern analytics workflows.
• Good understanding of AI, machine learning concepts and their practical application.
• Ability to mentor others and raise the quality of analytical work across a team.
• Knowledge of music repertoire is advantageous.

Experience

• Minimum of 4 years' experience in a data analyst, analytics or related role.
• Background engaging stakeholders in a consultative or analytical capacity.
• Experience leading analysis that informs business decisions and product development.
• Experience working with engineering, data science or product teams to turn analysis into scalable tools, reporting or data products.

Education

• Degree in a relevant field or equivalent practical experience.
• A background in Mathematics, Statistics, Computer Science, Physics, Economics, Data Science or a similarly analytical discipline would be advantageous.