Lead Billing Data Analyst | Billing, Payments & Subscription Analytics
Ruby Labs · Remote · Ukraine · Moldova · Latvia · Slovakia · Czech Republic · Slovenia · Romania · Kazakhstan · Poland · Hungary · Montenegro · Estonia · European Union · Cyprus · Lithuania · Greece ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Lead Billing Data Analyst
- Fully remote (CET ±4h)
- SQL + Data Visualization
- Team leadership role
- Subscription billing focus
Ruby Labs seeks a Lead Billing Data Analyst to own the data strategy for subscription billing operations. This hands-on leadership position involves building analyses and pipelines while mentoring a team of analysts.
You will monitor billing metrics, design experiments, and partner with cross-functional teams to reduce disputes and churn. The role requires deep expertise in recurring revenue models and advanced SQL skills.
What you'll do
- Monitor and report on billing metrics like payments, renewals, and chargebacks
- Build and maintain data pipelines for accurate and timely billing data
- Apply statistical methods to model scenarios and anticipate financial risk
- Design and run A/B tests to evaluate billing and support initiatives
- Create dashboards for real-time visibility into billing health
- Lead, mentor, and grow a team of data analysts
- Manage task flow and prioritize work against business needs
- Partner with Billing, Support, Finance, Product, and Marketing teams
What you'll need
- Deep expertise in subscription billing, payments, and disputes
- Advanced SQL skills including complex joins and window functions
- Proficiency with data visualization tools like Tableau or Power BI
- Experience in people leadership and managing analyst teams
- Strong statistical rigor for forecasting and experiment design
- Familiarity with billing platforms such as Stripe or Braintree
- Ability to explain complex findings to non-technical stakeholders
Nice to have
- Experience with Python and modern analytics tooling like dbt
- Background in building ETL/ELT pipelines for financial data
- Risk analysis or fraud-adjacent experience in billing contexts
- Skills in advanced visualization techniques like cohort analysis
Stack
- SQL
- Omni
- Tableau
- Power BI
- Stripe
- Braintree
- Nuvei
- Python
- dbt
- Airflow
How you'll work
- Fully remote position open to applicants worldwide
- Working hours within ±4 hours of Central European Time
- Flexible Independent Contractor Agreement structure
What you get
- Unlimited paid time off policy
- Paid national holidays
- Company-provided MacBook for employees who need it
- Tax advantages and autonomy via contractor agreement
Hiring process
- Application review takes 3 to 5 days
- Recruiter screening call (40 minutes)
- Technical interview (90 minutes)
- Final interview (60 minutes)