Data Business Analyst, Muse Group

• Minimum 4 years of experience as a Data/Product Analyst
• At least 1 year of experience as a Business Analyst / Product Manager / Project Manager
• 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)

Desirable

• 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

• HR Interview
• Test Task
• Technical Interview with love coding task (SQL) - 1.5 hours
• Final Interview