Sr. Sales Compensation Analyst
Databricks · Posted Oct 29
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
The Comp Admin team at Databricks runs commissions administration for a large global group of sellers so they can trust they are paid accurately and on time. Databricks is the Data and AI company, offering a unified Data + AI Platform for building and scaling data and AI apps, analytics, and agents. This role owns a large payee portfolio end to end — plan rollout, calculation, payroll, and audit-ready follow-up support — and uses AI and automation to make recurring compensation workflows faster and more scalable.
What you will do
- 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.
Skills used in this role
What the employer is looking 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
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