About the role

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.

Key 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.

Location

Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.

Benefits

Discover the perks of being part of our vibrant team! We offer:

• Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.

• Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.

• Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.

• Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.

• Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Interview Process

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)