data analyst for subscription products

Ruby Labs creates and operates consumer products across the health, education, and entertainment industries.

*Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ

• Partner with Product, Marketing, and Data teams to define KPIs, success metrics, and decision criteria
• Create dashboards and maintain and improve existing reporting, including Product Reports and Marketing Performance Reports
• 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 using event data, including journeys, drop-offs, and activation or aha moments
• Monitor key metrics and anomalies, escalate issues, and communicate updates to stakeholders according to defined SLAs
• Own and maintain event taxonomy and tracking structure, validate implementation, and ensure alignment with business logic
• Design and build robust, reusable SQL data models with clean layers, consistent definitions, and performance-minded queries
• Mentor Junior and Middle Analysts in SQL, validation, funnel and cohort analysis, and experimentation quality; provide regular feedback and guidance
• Give and receive direct, actionable feedback with peers and the Leadership Team, maintaining a high quality bar in a demanding environment

• Degree in an analytical field such as Mathematics, Data Science, or 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, including the ability to identify trends, patterns, and root causes in large datasets
• Excellent verbal and written communication skills, including the ability to translate analysis into clear business actions
• Ability to think strategically and make data-driven recommendations aligned with company goals
• Strong Product Analytics experience with funnels, cohorts, retention, LTV, churn, and segmentation
• Hands-on experience with event analytics tools such as Mixpanel, GA4, or Amplitude
• Advanced SQL skills
• Experience with popular BI tools such as Tableau or Looker
• Experience in a 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
• Будет плюсом: Marketing Analytics, Python, R, GCP, BigQuery, Google Ads, Facebook Ads, orchestration frameworks such as Airflow or dbt, Git, code review

• Unlimited paid time off
• Paid national holidays
• Company-provided MacBook for employees who need one
• Flexible Independent Contractor Agreement