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Senior Product Analyst

Прямой работодатель  Muse Group ( www.mu.se )
Cyprus
Сеньор
Аналитика, Data Science, Big Data • Data Analysis
3 января
Релокация • Удаленная работа
Опыт работы любой
Работодатель  Muse Group
Описание вакансии

Muse Group empowers music makers. We create the world’s most popular apps for playing, recording, and composing music.

Through our innovative learning tools, expansive music catalogs, and free open-source software, we make it easier for millions — from beginners to experienced musicians — to be creative every day.

Our talented team of music lovers collaborates all over the globe, from Limassol to Seoul, Boston to Berlin. We’re an ambitious company with the drive and culture of a startup — with many more exciting Muse Group developments to come.

As we continue to grow, we're looking for a Senior Product Analyst who will:

You won't hear water cooler chat about the weather here at Muse, here we are rating our favorite Prince albums and discussing Japanese punk.

KEY RESPONSIBILITIES:

  • Help the team run a large number of experiments by supporting the process with new ideas, pre-evaluation, adding necessary events, validating them, formalizing the results, and guiding the team to the next steps
  • The Data Analyst will perform data analysis and develop insightful dashboards, memos & presentations that summarize all kinds of data related to musescore.com, MuseScore Apps and their monetization
  • Develop tools and analysis to support decision-making related to how we prioritize product initiatives
  • Build batch and real-time data pipelines with data processing frameworks, has competency working with our existing data pipelines
  • Deliver scalable, testable, maintainable, and high-quality code
  • Help drive optimization, testing and tooling to improve data quality
  • Regular sync with existing analytics team
  • Facilitate and drive collaboration with engineers, product managers and partners to seek exciting and results-oriented user-centric data problems
  • Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability

REQUIRED EXPERIENCE:

  • 4+ years of experience as Data/Product Analyst
  • Proficiency in SQL of any dialect (Clickhouse - advantage)
  • Proficiency in Python/R with basic statistical, data engineering, visualisation libs (or experience with other programming languages)
  • Good level in math, probability theory and mathematical statistics (understanding of theory at a high level, experience in conducting A/B tests, testing hypotheses on data in practice);
  • Experience with BI tools
  • Experience with ETL tools (Airflow, Astromer, etc.)
  • Strong analytical skills and an ability to synthesize information across a broad ecosystem to diagnose problems and devise solutions
  • Strong communicator; able to collaborate and maintain relationships with partners on both business teams and technical teams
  • Product thinking, the ability to set tasks, planning, decomposition, generation of hypotheses and solutions; project management skills; high self-organization.
  • Fluent in both written and spoken English. Able to express complex ideas in English (B2 or higher)
  • Understanding how to read music is a plus
  • Understanding of music production processes including terminology, equipment, etc. is a plus

WE OFFER:

  • International experience: become a part of an international team, from the US to the UK and beyond.
  • Creativity every day: we make products for musicians, artists and creators, and so each of us is a bit of a musician.
  • Opportunity to influence the development of the music industry: we positively impact the lives of 400 million musicians around the world — and growing! In this role, you will also influence business decisions at the company level.
  • Growth: we pay for specialized training, language lessons, conferences and business books.
  • Care: corporate psychologist, assistance in difficult life circumstances.
     

Специализация
Аналитика, Data Science, Big Data
Отрасль и сфера применения
Data Analysis
Уровень должности
Сеньор