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 and 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’re looking for an experienced Performance Marketing Analyst to dive deep into marketing data, build robust attribution models, and uncover new market opportunities. You’ll play a pivotal role in data analysis, decision-making, and collaboration with cross-functional teams to optimize our product initiatives and enhance user experience.

KEY RESPONSIBILITIES

• Help Paid User Acquisition and CRM teams to find growth points
• Deep dive into marketing data, build attribution models, research new markets
• Perform comprehensive data analysis and develop insightful dashboards summarizing data for CRM and Paid UA teams
• Develop tools and analyses to aid decision-making regarding product initiative prioritization
• 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

• 3+ years of experience as a Marketing/Data/Product Analyst
• Understanding of marketing-specific data: attribution, AppsFlyer, Google Analytics, SKAdNetwork etc
• 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)
• 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.