Lead Billing Data Analyst (Billing, Payments & Subscription Analytics)

TL;DR

Lead Billing Data Analyst (Billing, Payments & Subscription Analytics): Own the data strategy behind subscription billing operations by building analyses and pipelines that improve billing performance with an accent on payments, renewals, refunds, and chargebacks. Focus on statistical scenario modeling, A/B testing for billing and support initiatives, and delivering real-time dashboards that reduce disputes, churn, and operational inefficiencies.

Location: Remote (within approximately ± 4 hours of CET)

Company

hirify.global builds and operates consumer products across health, education, and entertainment.

What you will do

• Monitor, analyze, and report billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks) and surface emerging trends.
• Build and maintain billing data pipelines to ensure accurate, timely, and reliable billing data.
• Run statistical scenario modeling and “what-if” analyses to anticipate financial risk.
• Design and run A/B tests and experiments to evaluate billing and support initiatives.
• Analyze how product, marketing, and pricing changes impact billing outcomes, risk behavior, and customer support metrics.
• Lead analytics delivery by mentoring analysts, managing intake/prioritization, and partnering cross-functionally to align metrics and definitions.

Requirements

• Deep subscription billing expertise with substantial experience in payments, renewals, refunds, and disputes/chargebacks in a recurring-revenue business (non-negotiable).
• Advanced SQL (complex joins, window functions, incremental logic, performance-aware queries).
• Data visualization skills using Omni, Tableau, Power BI, or similar tools.
• People leadership experience setting priorities, distributing work, reviewing output, and owning team results.
• Statistical & analytical rigor (forecasting, experiment design, translating ambiguous questions into structured analysis).
• Time zone alignment: applicants must be located within approximately ± 4 hours of CET.

Nice to have

• Experience with billing platforms/processors such as Stripe, Braintree, or Nuvei.
• Python and/or modern analytics tooling (dbt, Airflow, or similar).
• Experience building and maintaining ETL/ELT pipelines for billing or financial data.
• Risk analysis or fraud-adjacent experience in billing contexts.
• Advanced visualization techniques (cohorts, funnels, anomaly detection dashboards).

Culture & Benefits

• Remote work environment with flexibility to work from anywhere.
• Unlimited PTO and paid national holidays.
• Company-provided MacBook for employees who need it.
• Flexible independent contractor agreement option (with potential tax and autonomy benefits).

Hiring process

• Recruiter screening (40 minutes).
• Technical interview (90 minutes).
• Final interview (60 minutes).