Revenue Operations Analyst, Partnerships
New
J
JobgetherRevenue Operations
The role is remote within the United StatesFull-TimeMiddle
Salary75,000 - 90,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 2–3 years
- Required Skills
- PythonSQLData AnalysisMicrosoft ExcelDatabricks
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.
- Advanced Excel skills, including pivot tables, advanced formulas, data analysis, and reconciliation.
- Solid understanding of financial statements and fundamental accounting principles.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
