Analytics Manager

Music is Universal
 
It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.

Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.

We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email

The A Side: A Day in The Life

UMG's Global Insight team manages the most powerful and effective data sets and research capabilities in the music industry. As well as utilising sales, commercial / partner data, and social media analytics, the Global Insight team manages extensive consumer data from around the world, delivering unique detail into evolving attitudes and behaviours of today's music consumers.

The Consumer Insight team (part of Global Insights department) leads strategic insights and research for Universal Music Group's esteemed record labels and business units, supporting digital, commercial, and A&R label teams.

Global Insight is a 20+ staff team, with presence in London, New York and Los Angeles. We are looking for a proactive, enthusiastic, and confident Data Analysis intern to join a successful team of dedicated and passionate analysts & researchers. This role is based in London reporting directly to the Director, Data Analytics.

The B Side: Skills & Experience

We're looking for an experienced Analytics Manager to join our Global Insight team. The ideal candidate will bring a strong blend of analytical expertise and business acumen, with the ability to translate complex datasets into clear insights that guide strategy and support key business objectives.

In this role, you'll lead high-impact analytical projects that drive artist development, audience engagement, and label strategy. We're looking for a self-motivated and collaborative thinker who is passionate about leveraging data to shape the future of the music industry, with a deep appreciation for creativity and artistry.

Be Analytical

• Work closely with the Global Insight Directors in running strategic analysis that informs A&R, commercial and digital strategies for UMG.

• Partner with internal stakeholders across labels, insight and commercial teams to translate business questions into analytical approaches and insight outputs, aligning data insights with business objectives.

• Lead end-to-end analytics projects, from data exploration and analysis, through to insight delivery and storytelling.

• Build and maintain dashboards, reports, and tools to track audience behaviour, content performance, and commercial outcomes.

• Create visualisations and storytelling presentations that clearly communicate findings to both technical and non-technical stakeholders.

• Analyse trends across platforms (streaming, social media, and physical sales) to uncover actionable insights and support label strategies.

• Interpret unstructured data to develop meaningful narratives, that inspire strategic decision-making.

• Address challenges of working with incomplete or fragmented data by finding creative ways to fill gaps.

• Explore new datasets, tools, and techniques to keep UMG at the forefront of data-driven innovation.

Be Collaborative

• Work closely with the Data / Analytics teams in NY, LA and London, ensuring you are up-to-date and involved with the data analysis initiatives developed across the business.

• Identify opportunities to develop analysis, providing proactive suggestions and innovating on an ongoing basis.

• Work closely with data engineers and scientists to improve data quality and develop predictive models.

Skills & Experience

• Proven experience (4+ years) in analytics, insight, or data science roles, ideally within media, entertainment, or consumer industries.

• Strong problem-solving skills, with the ability to multi-task within a fast-paced, dynamic environment. Be able to prioritise, work to tight deadlines and have a strong sense of initiative.

• Advanced Excel and strong data visualisation skills (Tableau, Power BI, Looker, or equivalent).

• Experience working with large datasets from diverse sources (e.g., streaming, sales, and social media).

• Excellent communication skills with the ability to distil complex data into clear narratives.

• Understanding of how the industry operates, including streaming platforms, audience trends, and revenue models.

• Solid experience with SQL for data querying and manipulation.

• Familiarity with Python or R for basic data analysis and automation (desirable).

Personal Specification

• Thrives in a fast-paced, collaborative environment.

• Passionate about data, music, and storytelling through insight.

• Naturally curious and inquisitive with a can-do attitude.

• Strong attention to detail and organisation skills.

• Collaborative and team-oriented mindset with the ability to work independently when required.

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.