GAQ227R124
Databricks is looking for a Financial Analyst to join the Sales Finance team in the FP&A organization. You will report to the Senior Manager, Finance. The Sales Finance team's primary goal is to help Databricks continue optimizing investment for long-term growth through thoughtful analysis and improving visibility across the business.
You will be a trusted advisor to Sales and Finance leadership, delivering insights and providing recommendations for driving sustainable growth. You will improve forecast reliability, enhance corporate reporting, establish processes, and scale our systems to help grow the business. You will analyze usage trends across products, track key performance metrics, and partner with sales strategy on executive-level presentations.
The impact you will have:
- Analyze company performance against core KPIs and identify areas of potential risk and opportunities
- Build detailed empirical models from scratch to support financial recommendations
- Analyze daily usage trends across platforms, products, and business units and communicate insights for an executive-level audience
- Track the bookings pipeline and forecast impact on top-line financial performance
- Develop a deep understanding of Databricks’ business model to drive forecasts and business insights
- Partner with sales strategy and sales operations, and provide recommendations to finance leadership
What we look for:
- Bachelor’s degree in Business, Economics, Accounting, Finance, or a comparable field
- 2+ years of corporate finance or management consulting and investment banking experience; familiarity with the software industry (and SaaS) a must
- Experience in building financial models independently and preparing recommendations, required
- Demonstrated experience conducting financial due diligence for acquisitions, investments, strategic partnerships, or other corporate transactions.
- 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 learn
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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Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
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.
