Sr. Executive & Equity Compensation Analyst

Reposted 15 Days Ago
Be an Early Applicant
2 Locations
In-Office
125K-175K Annually
Mid level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The role involves managing equity and executive compensation programs, supporting design and analysis, compliance with regulations, and enhancing D&I programs.
Summary Generated by Built In

GAQ326R191

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As an Executive & Equity Compensation Analyst, you’ll partner closely with cross-functional stakeholders in Legal, Finance, Stock Admin, and People to help manage and evolve our equity and executive compensation programs. You’ll play a key role in designing and operationalizing programs that are market-aligned and built to scale.

The impact you will have:

  • Support the design, modeling, and administration of Databricks’ global equity programs, including new hire grants, refresh cycles, and special grants.
  • Partner with Legal, Finance, and Stock Administration to ensure accurate and compliant execution of equity programs across geographies.
  • Drive compensation benchmarking and analytics for executive roles using proprietary and external data sources.
  • Contribute to materials and analyses for executive compensation decisions, including annual CD&A-style narratives and board/comp committee presentations.
  • Develop and maintain tools, models, and dashboards to analyze equity usage, burn rate, dilution, and overall health of our equity pool.
  • Support readiness for IPO by helping to refine equity and executive compensation practices in line with public company standards.
  • Provide education, tools, and communications to HRBPs, Talent, and employees to increase transparency and understanding of our equity and exec comp programs.
  • Continuously monitor market trends and regulatory changes to inform program design and compliance.

What we look for:

  • 3–6 years of experience in compensation with exposure to both equity and executive compensation in a public or high-growth private tech company.
  • Strong analytical and modeling skills using Excel or Google Sheets; proficiency with tools and resources like Workday, Radford, Pave, or Shareworks is a plus.
  • Familiarity with global equity instruments (RSUs, options, PSUs) and key metrics like burn rate, dilution, and SBC.
  • Experience working with executive compensation frameworks, benchmarking, and public disclosures (e.g., CD&A) preferred.
  • Highly organized with strong attention to detail and the ability to manage multiple projects and deadlines.
  • Excellent written and verbal communication skills with the ability to work cross-functionally and with executive stakeholders.
  • Comfortable in a fast-paced, high-growth environment and excited to help build foundational programs.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.


Zone 1 Pay Range
$124,800$174,750 USD

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.

Top Skills

Excel
Google Sheets
Pave
Radford
Shareworks
Workday
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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