Lead Billing Data Analyst – Billing, Payments & Subscription Analytics

Stack

Responsibilities

• ▹Monitor, analyze and report on billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks) and surface emerging trends
• ▹Build and maintain data pipelines that deliver 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 the impact of product, marketing and pricing changes on billing outcomes, risk behavior and customer support metrics
• ▹Build and maintain dashboards and visual reporting that provide clear, real-time visibility into billing health and support performance
• ▹Turn insights into recommendations that reduce disputes, churn and operational inefficiencies
• ▹Document analyses, workflows, definitions and data logic to ensure clarity, reproducibility and consistency
• ▹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 and manage task flow and delivery timelines against business needs
• ▹Uplevel the team's billing domain knowledge and analytical and technical skills
• ▹Partner with Billing, Support, Finance, Product and Marketing to align metrics, definitions and processes with risk-mitigation goals

Requirements

• ▹Deep subscription billing expertise: substantial experience with payments, renewals, refunds, disputes, chargebacks and TC40 in a recurring-revenue business (non-negotiable)
• ▹Advanced SQL: complex joins, window functions, incremental logic and performance-aware query writing
• ▹Data visualization: proficiency with Omni, Tableau, Power BI or similar tools to build dashboards and communicate insights clearly
• ▹People leadership: experience setting priorities, distributing work, reviewing output and being accountable for a team's results
• ▹Statistical and analytical rigor: forecasting, experiment design and translating ambiguous business questions into structured analysis
• ▹Familiarity with billing platforms and processors such as Stripe, Braintree, Nuvei or similar
• ▹Strong communication: ability to explain complex findings to technical and non-technical stakeholders
• ▹Cross-functional collaboration: track record of influencing decisions with data across multiple departments
• ▹Located within approximately ±4 hours of CET

Nice to have

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

Soft skills

What we offer

• ▹Remote work
• ▹Unlimited paid time off
• ▹Paid national holidays
• ▹Company-provided MacBook for employees who need one
• ▹Flexible independent contractor agreement

About the company

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