Senior Data Analyst

Ruby Labs is a leading tech company that creates and operates innovative consumer products across the health, education, and entertainment industries.

• Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience.
• 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery.
• Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets.
• Excellent verbal and written communication; ability to translate analysis into clear business actions.
• Ability to think strategically and make data-driven recommendations aligned with company goals.
• Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation.
• Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar.
• Advanced SQL.
• Experience with popular BI tools such as Tableau, Looker, or similar.
• Experience in subscription business.
• Hands-on experience analyzing payment and subscription data, including checkout conversion, payment approval rates, renewals, failed payments, refunds, and chargebacks.
• Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment.
• Strong spoken and written English.

• 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.
• Analyze payment and subscription performance across checkout, trial-to-paid conversion, renewals, failed payments, refunds, and chargebacks; identify revenue leakage and recommend improvements.
• Partner with Product, Engineering, and Finance to investigate payment issues and ensure payment metrics and revenue reporting are accurate and consistent.
• 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 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.

Applicants must be located within approximately ± 4 hours of CET timezone for optimal collaboration and communication during working hours.