Muse Group

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.

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 ensure decision-making processes that lead to sustainable long-term product development.

Key Responsibilities:‍

• Perform full cycle of hypothesis work (ideation, business requirements, designing and conducting experiments, post analysis of results and insights discovering) 
• Create financial and unit models.
• 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.
• Develop insightful dashboards summarizing data.
• Collaborate with the backlog, prioritizing hypotheses based on predicted impact.
• 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 5 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.
• 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.
• To be a proactive professional who contributes with ideas and solutions and can take responsibility for results.
• Product-oriented mindset with strong task-setting, planning, hypothesis generation, and project management abilities.
• Ready to work in a fast-paced environment and have an ability to act in situations of uncertainty.
• Fluent in written and spoken English (B2 level or higher).

Nice to have:

• Experience to work in a subscription-based model business.
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