Synced from Greenhouse · Oct 29

Sr. Sales Compensation Analyst

DatabricksBengaluru, IndiaPosted Oct 29, 2026
Revenue Operations ManagerSenior
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Oct 29
Posted
Greenhouse
Applicant system
Job descriptionReq 8922722002

GAQ128R88

As a Sr. Sales Compensation Analyst on the Comp Admin team, you will run commissions administration from start to finish for a large global group of sellers, so they can trust that they are paid accurately and on time. You will own a large payee portfolio with no supervision needed, from plan rollout through calculation, payroll, and follow-up support. You will catch issues before they reach the field and keep every step audit-ready. You will also use AI and automation every day to make our work faster, more accurate, and easier to scale as Databricks grows.

The impact you will have:

  • Own commissions administration for a large payee portfolio with no errors: user setup, plan distribution, input processing, calculation, and payment.
  • Deliver plan rollout and payout accurately and on time every cycle, including tracking ICPW acceptance and preparing data that feeds payroll and accounting deadlines.
  • Resolve payee and partner questions quickly and fully, so issues are settled the first time without escalations. Run rep training and enablement sessions as needed.
  • Keep your portfolio fully compliant with SOX and audit requirements by following controls with discipline, documenting clearly, and keeping evidence reproducible.
  • Find discrepancies, exceptions, and control gaps early (for example, wrong credits, quota mismatches, or cap and accelerator errors), trace the root cause in the data, and drive the fix with Sales Ops, Payroll, and Accounting.
  • Make recurring workflows faster, more reliable, and easier to repeat by improving documentation, simplifying handoffs, and cutting rework.
  • Use AI to improve recurring work such as validations, reconciliations, and responses to comp questions. Build repeatable approaches that others on the team can adopt.
  • Help the team grow by mentoring new hires on tools, processes, and best practices, and by referring strong candidates.

What we look for:

  • 5+ years of hands-on sales compensation administration, including user setup, plan distribution, calculation and payment, comp questions, and rep training.
  • Advanced Xactly skills, including administration, reporting, and troubleshooting, with the ability to resolve system issues on your own.
  • Advanced Excel and Google Workspace skills for complex modeling, data analysis, and reconciliation.
  • A solid grasp of SaaS go-to-market compensation models (commit vs. consumption, quotas, OTI, accelerators, overlays, SPIFFs, MBOs) and how plan mechanics shape seller behavior.
  • Experience working under SOX or similar audit controls, with accurate, well-documented work and clean audit trails.
  • Strong analytical judgment: you investigate patterns, find root causes, and turn data into practical recommendations.
  • Comfort using AI tools and LLMs in daily work, plus the judgment to check outputs for accuracy before relying on them.
  • Clear communication and teamwork across time zones with global partners in Sales Ops, Payroll, Accounting, and Sales leadership.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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