Senior Data Analyst

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 Senior 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.

This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable.

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.

• 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.

Requirements

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