Senior Data Analyst, Able

• 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

Desirable

• 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
• 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

• After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
• Recruiter Screening (40 minutes)
• Technical Interview (60 minutes)
• Final Interview (30 minutes)