採用
Required Skills
Cash Application
Accounts Receivable
NetSuite
Salesforce
Excel
GAQ227R128
We are expanding our Order to Cash Finance team at Databricks and are looking for a Cash Application Analyst. This role owns high-volume cash application and reconciliation activities within a fast-scaling, usage-based SaaS environment. The analyst ensures accurate and timely application of complex customer and platform remittances, safeguards cash integrity, and partners cross-functionally to resolve discrepancies across a large and growing AR landscape.
The impact you will have:
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Own daily cash application across multiple payment channels, ensuring accurate and timely invoice clearing
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Reconcile complex remittances including indirect channel and cloud marketplace settlements
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Perform detailed post-billing analysis to resolve credits, usage true-ups, short payments, and unapplied cash
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Investigate and resolve multi-invoice, multi-entity payment discrepancies within Net Suite
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Partner with Billing and Collections to close reconciliation gaps impacting customer balances
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Monitor unapplied cash aging and drive reduction through structured resolution tracking
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Maintain audit-ready documentation supporting payment application and reconciliation logic
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Identify recurring reconciliation breaks and recommend scalable process improvements
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Support automation initiatives to improve matching accuracy and reduce manual intervention
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Generate reporting on application accuracy, unapplied trends, and cash posting timeliness
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Ensure compliance with internal controls and financial reporting standards
What we look for:
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Bachelor's degree in Finance or Accounting is a must. Additional Accounting Qualification is a plus.
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7+ years of experience in cash application or AR operations within high-volume environments
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Experience reconciling complex remittance structures and indirect billing flows
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Strong understanding of usage-based billing and credit memo application logic
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Proficiency in Net Suite (or major ERP) and Salesforce
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Strong Excel proficiency (advanced formulas, pivots, data analysis)
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High attention to detail with strong analytical problem-solving capability
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Ability to manage tight deadlines in a fast-paced, growth-oriented environment
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.
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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Director
Mid/L4 · Global Mobility Operations Manager
2 reports
$149,582
total / year
Base
$130,071
Stock
-
Bonus
-
$144,210
$154,953
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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