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Senior Billing Analyst

Databricks

Senior Billing Analyst

Databricks

Bengaluru, India

·

On-site

·

Full-time

·

1w ago

Required Skills

Billing

Accounts Receivable

Excel

Salesforce

GAQ227R130

We are seeking a dedicated Senior Billing Analyst to focus on resolving billing and collection issues efficiently while maintaining a strong customer-centric approach. This role is pivotal in ensuring a seamless billing experience for our customers and contributing to the continuous improvement of accounts receivable processes. The ideal candidate will possess deep expertise in billing functions, excel in communication, and demonstrate strong organizational skills. They should be proactive, efficient, and capable of working independently in a fast-paced, ever-changing environment that is looking to continuously improve.

The impact you will have:

  • Accurately process customer billings, including recurring charges, one-time fees, professional services, and usage-based invoices

  • Ensure invoices are complete, accurate, and issued within set timelines

  • Manage and respond to billing-related tickets in the Salesforce billing queue promptly, adhering to SLA requirements

  • Play an integral role in projects aimed at automating billing functions within our ERP system using Salesforce integrations

  • Identify and recommend process improvements and provide strategic guidance to leadership

  • Investigate and resolve customer billing disputes, ensuring timely escalation to appropriate teams when necessary

  • Proactively identify and implement operational enhancements and system customizations to meet evolving business needs

  • Actively seek innovative solutions to address business and customer requirements, enhancing the overall customer experience

  • Perform key month-end close activities, including A/R roll forwards and various account reconciliations

  • Assist with quarter-end audit preparations and support related requests

  • Ensure invoices are delivered, including upload invoices against purchase orders in vendor portals as required

  • Submit credit requests for billing adjustments and make necessary changes to A/R records

  • Manage customer portals to ensure timely invoice uploads and updates

  • Maintain comprehensive documentation of A/R processes and policies

  • Handle miscellaneous duties and participate in ad hoc projects as assigned

What we look for:

  • Bachelor’s degree in Accounting, Finance, Business Administration, or a related field preferred

  • Minimum of 7 years of experience in billing, accounts receivable, or related financial operations

  • Strong understanding of usage-based billing models and associated financial processes are a plus

  • Proficiency with ERP systems, billing & rating system, and payment processing platforms; experience with a global ERP such as Net Suite/SAP and Salesforce is required a plus

  • High level of analytical skills with the ability to interpret large datasets, generate reports, and perform complex reconciliations using spreadsheet software (e.g., Excel, Google Sheets)

  • SQL proficiency to generate reports and dashboards is a plus

  • Hands-on experience with month-end close processes, including reconciliations and analysis

  • Comfortable working in a fast-paced environment with shifting priorities and tight deadlines

  • Ability to work independently with minimal supervision, proactively identifying issues and taking initiative to implement solutions

  • Proven ability to collaborate cross-functionally with Sales, IT, Engineer, Dealsdesk, Revenue Operation teams to investigate billing inquiries and resolve discrepancies

  • Experience managing ticketing queues for billing inquiries, prioritizing requests, and delivering timely, accurate responses to internal and external stakeholders

  • Experience setting up and managing vendor/customer portals such as Ariba, Coupa, or similar procurement and invoicing platforms

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

Databricks

Series I

Databricks, 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