GAQ227R132

We are expanding our Order to Cash Finance team at Databricks and are looking for a **Senior Collections Analyst.**This role owns a high-volume accounts receivable portfolio within a fast-scaling, usage-based SaaS environment. The analyst is responsible for driving timely collections, reducing delinquency, and protecting cash flow while partnering cross-functionally to resolve disputes, billing gaps, and customer escalations across a fast growing AR landscape.

The impact you will have:

• In addition to owning portfolio-level collections execution, this role drives complex recovery strategies, influences credit risk decisions, and partners cross-functionally to resolve high-value escalations with measurable impact on DSO and bad debt exposure.

• Design and execute recovery strategies for structurally delinquent or high-risk accounts

• Lead cross-functional escalation forums for disputed high-value accounts

• Provide portfolio-level risk trend analysis to Finance leadership

• Recommend credit limit adjustments, payment term modifications, or account holds based on behavioral analytics

• Partner with Legal on pre-legal actions and structured recovery planning

• Identify systemic billing or process gaps driving recurring delinquency and propose corrective frameworks

• Develop scalable reporting models to improve visibility into aging, dispute velocity, and payment predictability

• Support quarterly bad debt reserve inputs with documented account-level risk rationale

• Act as subject matter expert on usage-based billing disputes and contract interpretation

What we look for:

• Bachelor's degree in Finance or Accounting is a must. Additional Accounting Qualification is a plus.

• 8+ years of collections experience, ideally with both public/private technology companies

• Experience managing large, high-volume AR portfolios with measurable impact on DSO

• Working knowledge of usage-based billing models and contract structures

• Demonstrated ownership of high-value, complex AR portfolios with material cash impact

• Proven ability to influence commercial stakeholders in high-pressure recovery scenarios

• Experience supporting reserve discussions and credit risk decisions

• Strong commercial judgment balancing revenue protection and customer relationship risk

• Ability to synthesize large data sets into executive-level risk insights

• Strong analytical judgment and attention to detail

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé 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.

Benefits:

At 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 https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At 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.

Compliance

If 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.