Lead Data Analyst
Pubblicato il 16-10-2026 - Ruby Labs in Verona
About Us
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
About The Role
Ruby Labs is hiring an experienced Lead Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting.
Responsibilities
- Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria.
- Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust.
- Deliver full-funnel analysis, identify bottlenecks,
and propose improvements or A/B test ideas.
- Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data.
- Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs.
- Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment.
- Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries).
- Mentor Junior/Middle Data Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance.
- Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment.
Requirements
- Degree in an analytical field (e.g., Mathematics, Data Science, Econom