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SonarSource

Revenue Analyst, Order to Cash

SonarSource is hiring a Revenue Analyst, Order to Cash in Austin, United States. Level rates it ; you can apply on SonarSource.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 120 other open roles at SonarSource.
  • The role was posted within the past two weeks.

AI in this role

Who is Sonar?

Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.

Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence. 


Position description

We are hiring an O2C Revenue Analyst to support the accuracy, completeness, and reliability of data flowing through Sonar’s order-to-cash and revenue accounting processes. This role focuses on extracting, transforming, validating, and loading Salesforce CPQ data into Aptitude RevStream (AREV), investigating data exceptions, and reconciling billing information to the revenue subledger.

Working closely with Revenue Accounting, Billing Operations, and BizTech, you will apply strong data processing skills, advanced Excel capabilities, SQL reporting knowledge, and hands-on AREV experience to support monthly and quarterly closes. You will help investigate transactions requiring additional calculations or system configuration, with accounting conclusions and configuration changes reviewed by the appropriate process owners.

This role will also strengthen team coverage through cross-training, clear process documentation, and knowledge sharing. Your work will help reduce reliance on individual process owners, improve data quality and controls, and build a more efficient and scalable revenue processing workflow.

What you will do

  • Extract Salesforce CPQ and billing data, clean and transform datasets, validate completeness and accuracy, and prepare and load data inputs.

  • Reconcile billing data, investigate differences, and maintain supporting schedules and evidence for monthly and quarterly closes.

  • Investigate and resolve recurring data exceptions, including upgrades, amendments, prorated transactions, and multi-year agreements, in partnership with Revenue Accounting and Billing Operations.

  • Support additional calculations, product configuration, and revenue recognition rule testing, following established accounting guidance, approval requirements, and change controls.

  • Develop and maintain SQL reports and Excel-based transformations, mappings, and validation checks to identify missing, inconsistent, or incorrectly classified data.

  • Identify opportunities to use automation, technology, and AI-enabled tools to reduce manual work while maintaining appropriate review and controls.

  • Prepare clear data lineage, reconciliation support, and process documentation for internal reviews and external audits.

Experience and qualifications

The ideal candidate will have: 

  • 4+ years of strong hands-on experience in O2C data operations, revenue systems, data processing, or data engineering, preferably in a software or subscription-based business.

  • Strong attention to detail and the ability to document repeatable procedures, communicate technical issues clearly, and cross-train colleagues.

  • The ability to work on-site, collaborate across Finance and BizTech, and meet deadlines in a fast-paced close environment.

  • A bachelor’s degree in Accounting, Finance, Information Systems, Data Analytics, or a related field, or equivalent relevant experience.

  • Experience using Aptitude RevStream, SFDC, NetSuite and Stripe is preferred.

In-office culture

We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having. 

Candidates need to be genuinely based in the location the role is posted  — if that's not where you are today, we're happy to support relocation for the right person.

 

We value diversity, equity, and inclusion

At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you need any accommodation, please reach out to us at hiring@sonarsource.com. 

All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. 

Applications that are submitted through agencies or third party recruiters will not be considered. 

How we rate this

Revenue Analyst, Order to Cash at SonarSource rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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