Revenue Operations Analyst, Partnerships

Accountabilities:

• • Transform source data into reliable, structured datasets that support monthly billing, revenue recognition, forecasting, and financial reporting.
  • Validate employee benefits and partner enrollment data against customer source counts and the actual figures used for GAAP-compliant revenue accounting.
  • Own the ongoing health and reliability of the billing engine by performing regular QA on Python and SQL logic, monitoring discrepancies, and troubleshooting production issues.
  • Debug, maintain, and improve existing billing-engine code to resolve data or invoicing issues while minimizing disruption to partner billing and downstream reporting.
  • Design and implement new invoicing logic and billing workflows to accommodate evolving contract structures, partner models, pricing arrangements, and business requirements.
  • Translate business and contractual requirements into clear technical logic, working iteratively with stakeholders to validate assumptions and ensure accurate implementation.
  • Analyze financial and operational datasets to identify trends, discrepancies, risks, and opportunities for improved revenue operations.
  • Support billing, reconciliation, forecasting, and revenue reporting processes by ensuring data quality and consistency across systems.
  • Serve as a subject-matter expert for Partner Revenue Operations on ad hoc analytical projects, system integrations, and process improvements.
  • Collaborate with internal teams and external stakeholders to resolve data, billing, and revenue-related questions efficiently.
  • Contribute to the continuous improvement and scalability of partner revenue processes, systems, and reporting infrastructure.

  Requirements:

  • Bachelor’s degree in Analytics, Data Science, Applied Mathematics, Statistics, Computer Science, Economics, or a related field.
  • 2–3 years of progressive experience in data analytics, ideally involving financial, billing, revenue, or business data.
  • Strong proficiency in SQL and Python, including the ability to query, transform, and manipulate large datasets efficiently.
  • Experience with Databricks or comparable cloud-based data analytics and engineering environments.
  • Hands-on experience building data logic, pipelines, or automated workflows, particularly those supporting billing, invoicing, or revenue processes.
  • Ability to translate complex business or contract requirements into technical logic and collaborate with stakeholders to validate requirements and assumptions.
  • Advanced Excel skills, including pivot tables, advanced formulas, data analysis, and reconciliation.
  • Strong analytical and problem-solving capabilities, with a demonstrated ability to identify discrepancies, investigate root causes, and ensure data accuracy.
  • Solid understanding of financial statements and fundamental accounting principles, including familiarity with relevant tax considerations.
  • Strong attention to detail and ability to manage sensitive financial and revenue data accurately.
  • Excellent communication and collaboration skills, with the ability to work effectively across technical, financial, and business teams.
  • Experience with billing processes, system integrations, revenue recognition, invoicing, or reconciliation is highly desirable.
  • Familiarity with Zuora, NetSuite, Salesforce, Avalara, or comparable financial, CRM, billing, or sales-tax platforms is a plus.
  • Understanding of subscription-based, usage-based, revenue-share, tiered-pricing, or other complex billing models is advantageous.

  Benefits:

  • Salary: $75,000–$90,000 USD annually, with compensation varying based on job-related knowledge, skills, experience, and location.
  • Fully remote position for candidates based in the United States.
  • Competitive overall compensation package.
  • Health and wellness benefits.
  • Retirement savings plans.
  • Parental leave.
  • Additional employee benefits designed to support wellbeing and work-life balance.
  • Inclusive and accessible work environment.
  • Equal employment opportunities for qualified candidates.