Lead Billing Data Analyst | Billing, Payments & Subscription Analytics

Ruby Labs is a leading tech company that creates and operates innovative consumer products across the health, education, and entertainment industries.

• Substantial experience with subscription billing including payments, renewals, refunds, disputes/chargebacks in a recurring-revenue business.
• Advanced SQL skills including complex joins, window functions, incremental logic, and performance-aware query writing.
• Proficiency with data visualization tools such as Omni, Tableau, Power BI, or similar.
• Experience in people leadership including setting priorities, distributing work, reviewing output, and accountability for team results.
• Statistical and analytical rigor including forecasting, experiment design, and translating ambiguous business questions into structured analysis.
• Familiarity with billing platforms/processors such as Stripe, Braintree, Nuvei, or similar.
• Strong communication skills to explain complex findings to both technical and non-technical stakeholders.
• Proven cross-functional collaboration influencing decisions with data across multiple departments.

Nice to have:

• Experience with Python and/or modern analytics tooling like dbt, Airflow.
• Experience building and maintaining ETL/ELT pipelines for billing or financial data.
• Risk analysis or fraud-adjacent experience in billing contexts.
• Advanced visualization techniques such as cohorts, funnels, anomaly detection dashboards.

Analytics & technical work:

• Monitor, analyze, and report on billing and support performance metrics including payments, renewals, refunds, disputes/chargebacks, and surface emerging trends.
• Build and maintain data pipelines delivering accurate, timely, and reliable billing data.
• Apply statistical methods to model scenarios, run “what-if” analyses, and anticipate financial risk.
• Design and run A/B tests and experiments to evaluate billing and support initiatives.
• Analyze impacts of product, marketing, and pricing changes on billing outcomes, risk behavior, and customer support metrics.
• Build and maintain dashboards and visual reporting providing real-time visibility into billing health and support performance.
• Turn insights into recommendations reducing disputes, churn, and operational inefficiencies.
• Document analyses, workflows, definitions, and data logic to ensure clarity, reproducibility, and consistency.

Leadership & collaboration:

• Lead, mentor, and grow a team of data analysts; set expectations, coach on methodology, and ensure high-quality output.
• Own the team’s intake and prioritization process; manage task flow and delivery timelines aligning with business needs.
• Enhance team’s billing domain knowledge and analytical/technical skills.
• Partner cross-functionally with Billing, Support, Finance, Product, and Marketing to align metrics, definitions, and processes with risk-mitigation goals.

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