data analyst in the music industry

Enfint

Greater London

On-site

GBP 55,000 - 90,000

Full time

14 days+
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Job summary

Universal Music Group ищет аналитика данных на должность старшего специалиста. Вы будете поддерживать артистов и лейблы, формировать стратегии на уровне лейбла и сотрудничать с командой Data & AI.

У вас есть не менее 4 лет опыта в аналитике, продвинутые навыки SQL, BigQuery и Python, а также опыт работы с облачными платформами. Вы будете строить дашборды, превращать данные в решения и влиять на бизнес-решения через качественную аналитику.

Qualifications

  • Превращать сложные наборы данных в понятные выводы.
  • Опыт общения со стейкхолдерами и управления ожиданиями.
  • Необходимо продвигать аналитические проекты от идеи до внедрения.
  • 4+ года опыта в роли аналитика.
  • Опыт работы с облачными платформами (BigQuery / AWS / GCP).
  • Навыки Python или другого языка для анализа.

Responsibilities

  • Поддерживать артистов и лейблы и развивать данные стратегий.
  • Разрабатывать датасеты и фичи для бизнес-операций.
  • Разрабатывать дашборды и инструменты самослужебной аналитики.
  • Сотрудничать с инженерами, учеными данных и продакт-менеджерами.

Skills

SQL
BigQuery
Python
Git
Dashboards
Stakeholder comms
ETL/ELT
Data modelling
Cloud platforms
ML concepts

Education

Степень в релевантной области

Job description

Описание:

Universal Music Group is a leading music company operating across A&R, finance, legal, digital, sales and marketing. Universal Music UK supports artists, labels and central teams through data, AI and technology initiatives.

Задачи:

Support artists and labels across the business in collaboration with the Data & AI team; Lead data strategy at a label level as a senior voice within the team; Support strategic research with data and audience insight; Research and develop data-driven solutions for current and future business problems; Use partner data to extract key metrics and provide feedback to label teams; Advise on data-related topics to guide business decisions; Source, clean and prepare data for modelling, product creation and visualisation; Develop datasets and features that become integral to business operations; Deliver analysis, reporting and measurement to solve business problems across Universal Music UK; Work with stakeholders to define business questions and turn complex data into clear, actionable insight; Collaborate with data scientists, engineers, product managers and business teams to improve performance measurement, audience understanding and opportunity identification; Shape insight, reporting and data products that support the labels.

Требования:
  • Translate complex datasets into clear, actionable insight
  • Apply a creative and commercially minded approach to problem-solving
  • Demonstrate strong stakeholder engagement, management and communication skills
  • Lead analytical projects from idea through delivery and adoption
  • Have advanced SQL skills and experience querying large datasets accurately and efficiently
  • Have experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS
  • Build dashboards, reporting products and self-serve insight tools
  • Understand data modelling, ETL/ELT processes and data quality
  • Have working knowledge of Python or another programming language for analysis
  • Be familiar with Git, version control and modern analytics workflows
  • Understand AI and machine learning concepts and their practical application
  • Mentor others and raise the quality of analytical work across a team
  • Have at least 4 years’ experience in a data analyst, analytics or related role
  • Engage stakeholders in a consultative or analytical capacity
  • Lead analysis that informs business decisions and product development
  • Work with engineering, data science or product teams to turn analysis into scalable tools, reporting or data products
  • Hold a degree in a relevant field or have equivalent practical experience
  • Nice to have: Knowledge of music repertoire, a background in Mathematics, Statistics, Computer Science, Physics, Economics, Data Science or a similarly analytical discipline
Условия:

No conditions specified

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