Lead Data Analyst

Ruby Labs is a leading tech company that creates and operates innovative consumer products. They offer opportunities 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.
• Experience in subscription business and/or acquisition-driven web funnels.
• Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation.
• Proven hands-on experience designing, running, and validating end-to-end A/B tests.
• Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar.
• Advanced SQL.
• Experience with BI tools such as Tableau, Looker, or similar.
• 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 adapt quickly, learn new tools efficiently, and deliver high-quality work in a high-pressure, fast-changing environment.
• Strong spoken and written English.

Nice to have:

• Experience in Marketing Analytics.
• Experience with Python and/or R.
• Experience with GCP and BigQuery.
• Experience with Google Ads, Meta/Facebook Ads, or other ad platforms.
• Experience with orchestration frameworks such as Airflow and/or dbt.
• Experience with Git and code review processes.
• Experience with billing/payments analytics.

• 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.

Applicants must be located within approximately ± 4 hours of the Central European Time (CET) zone for optimal collaboration and communication during working hours.