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.

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.

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.

package for this position may also include eligibility for annual performance bonus, equity, and the

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.

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 .