Lead Data Analyst

Ruby Labs is a technology company creating and operating consumer products across health, education, and entertainment. The Lead Data Analyst will drive analytics for subscription products and web funnels, owning end-to-end analysis, reporting, experimentation, event tracking, and SQL data modeling while mentoring analysts and partnering with Product, Marketing, and Data teams.

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, 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
• 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