Data Analytics Intern - Sony Music Publishing

sonymusicentertainment·Londonjunior

In short

→Analista de datos en música, enfocado en descubrir talentos emergentes usando datos.
→Día a día: analizar tendencias en plataformas, codificar para procesar datos y presentar hallazgos al equipo de A&R.
→Destacado: es la primera edición del programa de pasantías en SMP, con acceso directo al equipo de A&R en Reino Unido.

✓ Free to start✓ Runs in your browser✓ First dossier, no card✓ Ready in ~1 minute

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The questions they'll ask you

1. ¿Cómo usarías Python y SQL para identificar un nuevo compositor con crecimiento sostenido en Spotify?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Título o experiencia práctica en disciplina cuantitativa (matemáticas, estadística, ciencia de datos, etc.)
✓Nivel principiante a intermedio en Python y SQL
✓Capacidad para responder preguntas poco definidas con insights accionables
✓Habilidades de comunicación para audiencias técnicas y no técnicas
✓Interés en la música contemporánea y el panorama musical actual
✓Disponibilidad para trabajar de lunes a jueves en oficina (sin trabajo remoto)

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLDSPsredes socialesradiodatos de músicabases de datosanálisis de tendenciasvisualización de datosdocumentación

Who should you write to at sonymusicentertainment?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Sony Music Publishing is separate from Sony Music's recorded music business. While Sony Music signs and develops recording artists, Sony Music Publishing signs and represents songwriters and composers, helping maximise the value and use of their compositions. This is the first year with SMP internship opportunities in our programme and we are very excited to be able to offer you the chance to join the Publishing team! The Data Analytics Intern at Sony Music Publishing (SMP) will work within the A&R Research team which sits inside the UK A&R team. The A&R Research team are responsible for being the wider A&R teams eyes and ears online - leveraging data to give them visibility into the market. Which artists, songs and songwriters are having success today and who are the stars of tomorrow. Using data, the A&R Research team assist with discovery as well as quantifying talent and songs across DSPs, social, radio and more. Please note: This application form cannot be saved part-way through. We recommend preparing your answers in a separate document and then copying them into the form when you’re ready to submit. If you’d like to take additional time to complete your application, please ensure you gather your responses externally before submitting in one go. If you have any reasonable adjustment requests, please reach out to ----- Role Overview: Ways of Working • Office attendance: Monday to Thursday • Offsite working: No offsite working required What you'll do: • Discover and track growing songs and writers for the team, explore what is causing the growth and the story behind the data • Research available writers and maintain internal records • Develop new methods and metrics to draw insights from existing data sources and investigate emerging data sources • Work on coding projects to analyse and ingest data • Design, execute, and present analytical projects that build the team’s understanding of music trends • Help with administrative needs such as documentation and manual database updates Who you are: Essential • Strong analytical and quantitative skills, demonstrated through a degree in a quantitative discipline (e.g. Statistics, Mathematics, Data Science, Computer Science or Economics) or through equivalent practical experience, personal projects, competitions, or self-directed learning • Beginner to intermediate in Python and SQL • Ability to provide answers to loosely defined questions and provide actionable insights • Strong communication skills, comfortable relaying insights to both technical and non-technical audience Nice to Have • Advanced SQL and/or Python • Statistical modelling experience • Music fan and knowledge of the modern music landscape, familiarity with music data What we give you: • An annual salary of £28,480 (London Living Wage) <li data-leveltext="•" data-font="Arial" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Arial","469769242":[8226],"469777803":"left","469777804

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