Manager, A&R Analytics

In everything we do, we are committed to artistry, innovation and entrepreneurship. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world. This position will have a central role in the team, constructing statistical insights and predictive metrics, conducting research on artists, and analyzing new music. How You'll CREATE • Develop and test statistical and predictive models to support artist identification, signing decisions, song evaluation, and promotion strategy • Conduct research to evaluate new music and improve the organization’s understanding of new music metrics • Own the creation of key data sets that drive existing and future internal reporting tools within MCA • Provide practical and creative data solutions on large sets of data • Support the Data & Research Team on data initiatives pertaining to A&R, ensuring optimal data delivery for all projects • Liaison with Corporate Data team to stay informed and up to date on latest data and analytic tools available internally and externally • Communicate closely with analytics and A&R teams in the gathering and application of music insights • Collect, prepare, and explore a variety of music data, and construct new methods to draw insights from this data • Develop and implement new analytical processes and/or technologies • Attend new artist shows • Other duties and responsibilities as required Bring Your VIBE: • Proficiency with R or Python and SQL, as well as expertise with Excel • Strong analytical and problem-solving skills • A direct background and/or current position with a heavy use of data analytics • Conduct research to evaluate new music and improve the organization’s understanding of new music metrics • A passion for data, especially for creating efficient and scalable models • A rabid desire to acquire knowledge from anywhere, whether related parallel industries to highly unlikely sources, and apply it to our situation with constant trial and error • Research and development of complex data models, algorithms, and techniques • A relaxed and confident approach to all business relationships internally and externally • Passionate about new music

Create an account to see the full posting, access our search engine, and more.