Billing Data Analyst

Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/

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.

• →

  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.

• 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.

• 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.

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.

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)

At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.

This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.

Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.

#LI-Remote