Product Analyst

Team: Product

Location: Switzerland

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Analyze product performance and user behavior to identify trends, opportunities, and areas for improvement.
• Define, monitor, and optimize key product metrics such as retention, conversion, lifetime value, revenue, and churn.
• Build and maintain dashboards and reporting solutions to support informed decision-making across Product, Marketing, and Operations teams.
• Conduct in-depth analyses of customer journeys, feature adoption, promotional initiatives, and overall product performance.
• Partner with Product Managers to evaluate new releases, product enhancements, and A/B testing initiatives.
• Identify friction points within the customer journey and recommend data-backed improvements.
• Collaborate with data teams to ensure the quality, consistency, and availability of analytical data.
• Translate complex analytical findings into clear, actionable recommendations for both technical and business stakeholders.
• Support customer segmentation, personalization initiatives, and market research to improve user engagement and business outcomes.

Requirements

• Proven experience as a Product Analyst, Data Analyst, or in a similar analytical role within digital products.
• Strong proficiency in SQL and experience working with large datasets.
• Hands-on experience with business intelligence platforms such as Tableau, Power BI, Looker, or equivalent tools.
• Solid understanding of product analytics, customer behavior analysis, experimentation, and A/B testing methodologies.
• Experience with event-based analytics platforms such as Google Analytics 4, Amplitude, Mixpanel, or similar tools is an advantage.
• Knowledge of digital product monetization models, customer lifecycle management, or online platform analytics is desirable.
• Strong analytical thinking, problem-solving abilities, and exceptional attention to detail.
• Excellent communication skills with the ability to present insights clearly to both technical and non-technical audiences.
• Experience with Python or statistical analysis tools is considered a plus.
• Self-motivated, adaptable, and comfortable working in a collaborative remote environment.

Benefits

• Competitive compensation package.
• Fully remote work with the flexibility to work from anywhere.
• Flexible working hours to support work-life balance.
• 28 days of paid annual leave.
• 3 paid sick days without requiring a medical certificate.
• Additional seniority leave based on tenure.
• Birthday day off.
• Career development opportunities and long-term professional growth.
• Collaborative international team and supportive remote-first culture.