Overview

 Data Analyst – London, N1C 4AG, United Kingdom 

The A Side: A Day in The Life

A newly created role serving two labels, Decca & Fontana. As part of the commercial division, the Data Analyst role will primarily be responsible for pulling, analysing, interpreting, and communicating commercial and consumption data. This data analysis will give the label teams valuable insights and inform strategy. Other areas of focus will include audience data and insight and A&R analysis, helping our label teams understand fan behaviour and look for new artist signings.

Since 1929, DECCA has been the home of the world’s greatest musicians. Working with globally successful artists like Max Richter and Andrea Bocelli, to groundbreaking experimental artists in the ambient instrumental space such as Ólafur Arnalds and LUXE, bringing the music of these artists to a global audience is all in a day’s work. The label has always been at the forefront of classical music artistic excellence, musical innovation and creative entrepreneurship. Home to prominent classical icons and contemporary classical favourites including Yunchan Lim, Sheku Kanneh-Mason, Alexandra Whittingham, Klaus Makela, Pavarotti, Ashkenazy and Solti, and more. 

Fontana Records, the legendary label, has been home to some of the most influential recordings in jazz, pop and alternative music. Recently revived under Universal Music UK, Fontana continues its legacy as a home for genre-defining artists across jazz, folk, blues, alternative and soul. Fontana’s roster includes Jacob Collier, Aurora, Jeff Goldblum, Jordan Rakei, Victor Ray, The Teskey Brothers and Melody Gardot, alongside international acts from Blue Note, Verve and Impulse. As Fontana returns to the UK, it embarks on a new chapter celebrating experimentation, discovery and artistry. This is an exciting opportunity to join from the start, helping to shape the next chapter of an iconic label.

 

 

 

 

The B Side: Skills & Experience

Be Analytical

• Report on frontline and catalogue track performance and share weekly insights with label teams
• Analyse historical sales data to inform physical forecasting and marketing budgets
• Report on audience data across social media and CRM to give label marketing teams deeper insights
• Discover new artists through internal and external A&R data tools, websites, streaming services and develop new ways to evaluate unsigned talent.
• Work closely with the A&R team to demystify and locate opportunities. 
• Building bespoke systems and processes to help this process run sooner in a fast-paced environment.

Be Operational

• Put together weekly reports highlighting track performance, audience shifts, sales figures 
• Work with other UMG data teams to leverage the latest tech and keep the labels future-facing
• Attend meetings, gigs, showcases, conferences, and other events to represent the label where required. 
• Feedback and contribute to the general development of the label’s artist data signing strategy. 

Be Collaborative 

• Work closely alongside the commercial, D2C, marketing and A&R teams to streamline processes in this area.  
• Work with data specialists in labels & central teams – both in UK and internationally – to ensure we are fully across the latest changes in this area. 
• Contribute to long-term plan to effect positive change within the label using data & analysis

Personal specification

• Experience in an analysis role. SQL, Python or BigQuery knowledge would be a bonus. 
• Experience in the music industry, ideally gained within commercial, A&R, Streaming.
• Ability to be both creative and data driven.
• Digitally savvy and quick to adopt trends.
• Passionate at reading audiences and trends in the music landscape. 
• Exceptional communication, presentation and organization skills.
• Artist focused and passionate about the music industry with a good knowledge of the digital and short form landscape.
• Proactive attitude to work to deadlines, meet targets and multitask in a fast-paced environment.
• Strong relationship building skills and a team-oriented approach.

 

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