Product Analyst

Прямой работодатель  Muse Group ( mu.se )
Limassol, Cyprus
Миддл • Сеньор
Аналитика, Data Science, Big Data • Бизнес анализ • Marketing аналитика • Product аналитика • Python • SQL • ClickHouse • Google BigQuery • PostgreSQL • СМИ, Медиа и индустрия развлечений
26 ноября
Релокация • Удаленная работа
Опыт работы от 3 до 5 лет
Работодатель  Muse Group
Описание вакансии

We are currently seeking a Product Analyst in Ultimate Guitar Monetization Team to play a pivotal role in supporting our team in running a large number of experiments. This role involves contributing ideas, conducting research, process and data modeling, pre-evaluating ideas, detailing logic, validating results, and guiding the team towards next steps.

Key Responsibilities:

  • Perform comprehensive data analysis and develop insightful dashboards summarizing data related to ​, Ultimate Guitar Apps, and their monetization.
  • Develop tools and analyses to aid decision-making regarding product initiative prioritization.
  • Construct batch and real-time data pipelines using data processing frameworks, demonstrating competency with existing data pipelines.
  • Deliver scalable, testable, maintainable, and high-quality code.
  • Drive optimization, testing, and tooling initiatives to enhance data quality.
  • Engage in regular synchronization meetings with the existing analytics team.
  • Collaborate with the backlog, prioritizing hypotheses based on predicted impact.
  • Actively participate in project work by helping to formulate hypotheses and detailing logic and events to provide insights and new knowledge.
  • Work closely with team members to implement and launch experiments successfully.
  • Foster collaboration with engineers, product managers, and partners to address user-centric data problems effectively.
  • Share knowledge and promote standard methodologies, fostering team improvement through mentorship and constructive accountability.

Required Experience: 

  • Minimum 4 years of experience as a Product/Data Analyst.
  • Proficiency in SQL (any dialect), with familiarity with Clickhouse being advantageous.
  • Proficiency in Python/R, including basic statistical, data engineering, and visualization libraries (or experience with other programming languages).
  • Strong grasp of math, probability theory, and mathematical statistics, including practical experience conducting A/B tests and hypothesis testing.
  • Experience with BI tools and ETL tools (e.g., Airflow, Astromer).
  • Exceptional analytical skills, with the ability to synthesize information across a broad ecosystem to diagnose problems and devise solutions.
  • Excellent communication skills, capable of collaborating and maintaining relationships with both business and technical teams.
  • Product-oriented mindset with strong task-setting, planning, hypothesis generation, and project management abilities.
  • Fluent in written and spoken English (B2 level or higher).
  • Understanding of music notation and production processes is a plus.

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