Job Description
Global Audience Analyst and Project Manager (Music Industry)
Central London/Hybrid
£competitive salary
A fantastic opportunity to join a global body representing the music industry. You will be trained and brought up to speed with the industry quickly and therefore we seek an ambitious and dynamic individual who will rise to the challenge and throw themselves into the team effort quickly and with maximum enthusiasm. You will be working in the ‘Charts’ division you will be instrumental in identifying and developing programs around the world. The role involves working with a variety of global data sets, identifying and assessing market opportunities, project managing the roll out and ensuring results are well communicated to varied stakeholders.
Key responsibilities:
Assisting the team in their efforts to roll out global best practices for charts and certifications programs.
Engaging with peers, affiliates, music streaming platforms and research and data providers to ensure global best practices are understood and supported.
Taking the lead on specific initiatives, including sharing charts insights and assisting in project management and product development.
Working with market sizing data, market analysis tools, advanced excel and data analysis
Experience/skills required:
Demonstrable experience analysing and presenting consumer/audience data and insights, and the value they bring to an organisation.
Demonstrable experience of developing relationships and communicating in a global blue-chip environment, in a professional and engaging manner with external clients and partners.
Project management and organisational experience.
Experience in a people facing role.
Excellent communication skills.
A passion for popular music and the charts.
The successful candidate will have worked within the consumer/audience team of a multi-national organisation or a commercial/client facing role at market research company. Music industry experience would be ideal, however you could bring a passion for the music industry and experience from another global landscape working with large consider datasets.