[Hiring] Product Analyst @Muse Group

Role Description

We're looking for a Product Analyst to own metrics, experimentation, and data quality for SMP and SMD. You'll be at the center of how the team makes decisions — building the dashboards people check daily, running the A/B tests that validate product hypotheses, and increasingly, using AI agents to move faster without sacrificing rigor. This is a hands-on analytics role for someone who already treats tools like Claude Code, Cursor, or ChatGPT as part of their daily workflow, not a novelty. 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.

• Own and track key metrics for SMP and SMD products: dashboards and regular reporting
• Launch and analyze experiments and A/B tests: validate hypotheses, run the test, deliver conclusions
• Use AI agents (Claude Code or similar) for day-to-day analytics work and verify their output before it goes to stakeholders
• Turn recurring analyses into reusable AI skills and automated pipelines
• Ensure data accuracy, consistency, and completeness across sources
• Identify trends, anomalies, and insights to guide decision-making
• Document metric definitions, data sources, and known data issues so both people and AI tools can rely on them

Qualifications

• Daily use of AI coding/analytics tools (Claude Code, Cursor, ChatGPT or similar) in real work, not as an experiment
• Strong SQL: enough to review and fix generated queries quickly
• Python for data cleaning and analysis
• Strong understanding of A/B testing methodologies
• Solid math and statistics for modeling and hypothesis testing
• Experience with data visualization tools (e.g., Redash, Metabase, Tableau)
• Ability to write clear task descriptions and documentation
• Collaboration and problem-solving skills
• Upper-intermediate English level

Requirements

• Daily use of AI coding/analytics tools (Claude Code, Cursor, ChatGPT or similar) in real work, not as an experiment
• Strong SQL: enough to review and fix generated queries quickly
• Python for data cleaning and analysis
• Strong understanding of A/B testing methodologies
• Solid math and statistics for modeling and hypothesis testing
• Experience with data visualization tools (e.g., Redash, Metabase, Tableau)
• Ability to write clear task descriptions and documentation
• Collaboration and problem-solving skills
• Upper-intermediate English level

Benefits