Financial Analyst

Reposted Yesterday
4 Locations
In-Office
104K-143K Annually
Junior
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Support Sales Finance by building financial models, analyzing usage and bookings trends, improving forecast reliability, and delivering insights and recommendations to sales and finance leadership.
Summary Generated by Built In

GAQ227R124

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

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 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 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.


Zone 1 Pay Range
$104,100$143,100 USD

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 2 Pay Range
$93,700$128,800 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 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.

  • Equity Value & Accessibility Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
  • Healthcare Strength Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
  • Parental & Family Support Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.

Databricks Insights

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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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