Sr. Revenue Operations Analyst San Francisco, California

Company: Databricks Inc.
Location: San Francisco
Posted on: May 24, 2025

Job Description:

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.As the Senior Revenue Operations Analyst, you will own the daily Order-to-Cash operations process, supporting the global revenue accounting operations and revenue close process. You will play an essential role in data integrity, ensuring all customer, opportunity, and subscription information is accurate and reportable. You will partner with other teams to create and promote a scalable order-to-cash process. You will report to the Manager - Revenue Ops.The impact you will have:

• Analyze signed contracts and completed orders for completeness, accuracy, and compliance with company bookings and revenue recognition guidelines.
• Provide usage integrity established through reconciliations and validation checks.
• Partner with Sales, Deal Desk, Renewals, Collections, Legal, and Revenue departments and become an expert in order-to-cash policy and procedures.
• Create detailed records in financial systems to meet internal service level agreements supporting billing, commissions, forecasting, and revenue recognition processes.
• Design and build scalable order-to-cash processes through the identification and communication of needed process improvement and system enhancements to achieve an efficient system infrastructure to support the month-end close.
• Generate and maintain detailed documentation of policies and processes, and assist with process improvement/automation initiatives as they arise.
• Perform assigned month-end accounting and reporting operations activities.
• Document controls and procedures for new and existing business models.
• Manage special projects as assigned and deliver accurate results.
• Provide audit support for control and substantive testing.
• Collaborate in system implementation or enhancement projects and assist with UAT as needed.
• Develop and prepare schedules and reports regarding team metrics for management review.What we look for:
  • 5+ years operational accounting experience in a growing SAAS technology business.
  • Bachelor's degree with an emphasis in Finance or Accounting.
  • Experience working with IT, sales, customer contracts, and order desk operations.
  • Experience with NetSuite and Salesforce, and willingness to learn and adapt to additional systems such as our internal Databricks tools.
  • Experience creating efficient processes to support the order-to-cash function, using a strong attention to detail.
  • Advanced proficiency with Excel (pivot tables, Vlookups, Xlookups, building customized formulas, etc.).
  • Proactiveness and solution-oriented, always thinking one step ahead.
  • Database & SQL experience preferred.
  • Familiarity with CPQ tools or billing platforms like Zuora is preferred.
  • Advanced analytical skills, especially with working with large data sets.
  • Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams.
  • The capability to adjust to change, the ability to thrive in ambiguity, and the ability to operate in a fast-paced, scaling environment with tight deadlines.
  • Ability to drive manual processes to standardized and automated processes.
  • Work autonomously as the Subject Matter Expert (SME) on responsibilities assigned, along with the ability to hold oneself accountable.
  • Project management and problem-solving skills.Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range: $111,800 - $171,500 USDAbout DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Cond-- Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit .Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Keywords: Databricks Inc., Danville , Sr. Revenue Operations Analyst San Francisco, California, Accounting, Auditing , San Francisco, California