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 guiding the team towards next steps.

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:‍

— Perform comprehensive data analysis and develop insightful dashboards summarizing data related to https://www.ultimate-guitar.com, 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.