Description We are looking for a Marketing Analyst to own the intersection of CRM analytics and growth data across Muse Group's product ecosystem. This is a role for someone who thinks in models, not just dashboards — someone who can build Marketing Mix Models, architect social analytics pipelines, and bring statistical rigour to complex questions. You will partner closely with both the CRM team and the Advertising team, and your work will directly shape how hundreds of millions of musicians discover and engage with our products. What is in it for you? Full ownership from day one — build the analytics infrastructure for marketing attribution, social performance, and campaign modelling, rather than inheriting someone else's half-finished stack. Real breadth — your scope covers CRM analytics, paid and organic growth, offline/online event modelling, and social targets. No two weeks look the same. AI-first environment — we actively use and build with LLMs across the business. You will be expected to, and empowered to, automate and augment your own workflows. We are actively integrating AI and automation into all areas of the business and expect candidates with a mindset focused on improving efficiency and delivering a better experience. Key responsibilities Deep dive into marketing data, build attribution models, research new markets Build marketing mix models for offline and online events revenue imact estimation Build social analytics from scratch, build models for targets for social posts Perform comprehensive data analysis and develop insightful dashboards summarizing data for marketing team Help Marketing team to find growth points 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 Leverage LLMs to automate and optimize key processes, reports and marketing decision making Requirements Minimum 5 years of experience as a Marketing/Data/Product Analyst Understanding of marketing-specific data: attribution, Google Analytics 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) Proficiency in LLMs like Claude or Perplexity, including experience with building AI agents 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)