Billing Data Analyst

Ruby Labs is a tech company with a portfolio of consumer products in health, education, and entertainment (100M+ annual users). We are seeking a Billing Data Analyst to join our Billing and Data team. You will play a key role in analyzing financial performance, billing behavior, risk trends, and support operations. Your work will help drive better decision-making, reduce financial risks, and improve billing efficiency across all products. This role combines analytical rigor, statistical thinking, and cross-functional collaboration.

Responsibilities:

• Monitor, analyze, and report on key billing and support performance indicators and emerging trends.

• Build and maintain data pipelines to ensure accurate, timely, and reliable data delivery.

• Apply statistical methods to project scenarios, assess “what-if” outcomes, and anticipate financial risks.

• Run A/B tests and experiments to evaluate billing and support strategies.

• Collaborate with cross-functional teams (Billing, Support, Finance, Product, Marketing) to align processes with risk-mitigation goals.

• Analyze the impact of marketing and product changes on billing outcomes, risk behavior, and customer support metrics.

• Provide actionable recommendations to improve billing performance and reduce disputes, churn, and operational inefficiencies.

• Document analyses, workflows, and data logic to ensure clarity and consistency.

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.

• Experience as a Data Analyst, ideally within fintech, subscription products, billing, or customer support.

• Strong SQL skills.

• Experience with popular BI tools such as Tableau, Looker, or similar

• Experience with Python or R

• Solid understanding of statistical analysis, forecasting, and scenario modeling.

• Experience running A/B tests and interpreting experiment results.

• Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment.

• Strong communication skills, with the ability to explain findings to both technical and non-technical stakeholders.

• Curiosity, ownership mindset, and the discipline to maintain high-quality data work.

Nice to Have:

• Experience with BigQuery, ClickHouse, or any cloud data warehouse.

• Basic Python knowledge for data cleaning or simple analysis.

• Exposure to subscription businesses or payment systems.

• Understanding of disputes, chargebacks, declines, or fraud signals.

• Familiarity with DBT or data quality frameworks.

We offer:

• Fully remote work (within ±4h of CET).

• Unlimited PTO + paid national holidays.

• Company-provided MacBook.

• Flexible Independent Contractor agreement with tax advantages.