Senior Data Analyst

Universal Music Group; United States; On-site; USD 85,000 - 130,000; Full time

Job summary

Universal Music Group is seeking a Data Analyst within the central Data, AI and Technology team to influence data strategy across AMS, frontline labels, UMR and the broader business. You will shape insight, reporting and data products that empower label teams and partners.

You’ll translate complex datasets into actionable dashboards, work with engineering and product teams to scale insights, and mentor others while applying strong SQL, Python and cloud analytics skills.

Qualifications

• Degree or equivalent practical experience in a relevant field.
• Strong ability to translate complex datasets into actionable insights.
• Experience engaging stakeholders in a consultative capacity.

Responsibilities

• Work directly with Data & AI team to support artists & labels.
• Lead data strategy at label level.
• Support core strategic research with data & audience insight.
• Develop data-driven solutions to business problems.
• Utilise partner data to pull out key metrics for label teams.
• Advise on data topics to guide business decisions.
• Source, clean and prepare data for modelling and visualisation.
• Develop new data sets or features for business operations.

Skills

SQL

Data storytelling

Stakeholder management

Project leadership

Python

Cloud analytics

Dashboards

ETL/ELT

Data modelling

AI concepts

Mentoring

Education

Degree in a relevant field

Mathematics/Statistics/CS background advantageous

Tools

BigQuery

Google Cloud Platform

AWS

Git

Job description

As part of the central data, AI and technology team, you’ll have a chance to work across all divisions, including AMS, frontline labels, our catalogue division UMR, and all other central teams, as well as data and technology teams within the wider business. This includes helping shape insight, reporting and data products that support & supercharge the labels.

Key Responsibilities

• 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

• 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.

Just So You Know… The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.