Billing Data Analyst
Ruby Labs · Remote · Ukraine · Moldova · Latvia · Slovakia · Czech Republic · Slovenia · Romania · Turkey · Kazakhstan · Brazil · Poland · Hungary · Montenegro · Estonia · European Union · Cyprus · Lithuania · Serbia · Georgia ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (±4h CET)
- SQL + Python/R
- Tableau or Looker
- Unlimited PTO
- MacBook provided
Join the Billing and Data team at Ruby Labs to drive decision-making through analytical rigor. You will assess risk trends, improve billing efficiency, and support operations across health, education, and entertainment products.
The position combines statistical thinking with cross-functional collaboration to reduce financial risks and optimize customer support metrics.
What you'll do
- Monitor and report on billing and support performance indicators
- Build and maintain data pipelines for reliable data delivery
- Apply statistical methods to forecast scenarios and assess risks
- Run A/B tests to evaluate billing and support strategies
- Collaborate with Billing, Finance, and Product teams on risk goals
- Analyze impact of product changes on billing and churn metrics
- Provide recommendations to reduce disputes and operational inefficiencies
- Document analyses and data logic for clarity and consistency
What you'll need
- Bachelor’s degree in Data Science, Statistics, CS, or Economics
- Experience as a Data Analyst in fintech or subscription products
- Strong SQL skills for data extraction and analysis
- Proficiency with BI tools like Tableau or Looker
- Experience using Python or R for analysis
- Solid understanding of statistical analysis and forecasting
- Experience running and interpreting A/B tests
- Strong communication skills for technical and non-technical audiences
Nice to have
- Experience with BigQuery, ClickHouse, or cloud data warehouses
- Basic Python knowledge for data cleaning tasks
- Exposure to subscription businesses or payment systems
- Understanding of disputes, chargebacks, or fraud signals
- Familiarity with DBT or data quality frameworks
Stack
- SQL
- Python
- R
- Tableau
- Looker
- BigQuery
- ClickHouse
- DBT
How you'll work
- Fully remote work environment
- Must be located within ±4 hours of CET
- Flexible independent contractor agreement
- Company-provided MacBook for productivity
What you get
- Unlimited paid time off
- Paid national holidays
- Tax advantages via contractor status
- Autonomy and entrepreneurial opportunities
Hiring process
- Application review (3-5 days)
- Recruiter screening (40 minutes)
- Technical interview (60 minutes)
- Final interview (30 minutes)