GAQ227R124
Databricks is looking for a Senior Financial Analyst to join the Sales Finance team. You will report to the Sr. Finance Manager. The team’s primary goal is to improve forecast accuracy, increase visibility into business performance, and provide actionable insights that help Databricks optimize investment decisions and long-term growth.
You will be a trusted advisor to Finance and GTM leadership, delivering insights and recommendations that improve forecast reliability, enhance executive reporting, and drive operational excellence. You will own key forecasting processes, analyze usage and invoicing trends, partner cross-functionally across Finance, and Sales Strategy, and build scalable models and processes to support a rapidly growing business.
The impact you will have:
- Own and improve forecasts for bookings, invoicing, collections, and cash while identifying key risks and opportunities.
- Develop a deep understanding of Databricks’ business model to drive forecast and business insights
- Analyze company performance against core financial and operational KPIs and communicate insights to Finance leadership.
- Develop scalable driver-based forecasting models and improve forecast methodologies through historical analysis and business insights.
- Build executive-level reporting and presentations that clearly communicate financial performance, and strategic recommendations.
- Drive process improvements, automation, and reporting enhancements to support a fast-growing, data-driven organization.
What we look for:
- Bachelor’s degree in Business, Economics, Accounting, Finance or a comparable field
- 4+ years of corporate finance, management consulting, or investment banking experience; familiarity with the software industry (and SaaS) a plus
- Experience in building financial models independently and preparing recommendations
- Solid understanding of Generally Accepted Accounting Principles (GAAP)
- Excellent analytical, organizational, and collaboration skills
- Experience simplifying and scaling while supporting a fast-moving, high-growth business
- Curiosity to learn and solve problems independently
- Ability to prioritize objectives in a fast-paced environment to ensure deliverables are met in a timely manner
- Expert in Excel/Google Sheets (can maintain complex spreadsheets); comfortable managing large datasets and driver-based models
- Prior experience using SQL or willingness to lear
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.
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.
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.
Skills Required
- Bachelor's degree in Business, Economics, Accounting, Finance, or comparable field
- 2+ years of corporate finance, management consulting, or investment banking experience
- Familiarity with the software industry (and SaaS)
- Experience building financial models independently and preparing recommendations
- Solid understanding of Generally Accepted Accounting Principles (GAAP)
- Expert in Excel/Google Sheets (can maintain complex spreadsheets)
- Comfortable managing large datasets and driver-based models
- Prior experience using SQL or willingness to learn
- Excellent analytical, organizational, and collaboration skills
- Ability to prioritize objectives in a fast-paced environment to meet deliverables
- Curiosity to learn and solve problems independently
- Experience simplifying and scaling processes in a fast-moving, high-growth business
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
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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