Databricks

Senior Financial Analyst

Databricks$137K — $189K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Business, Economics, Accounting, Finance, or related field
  • 2+ years of experience in corporate finance, management consulting, or investment banking; SaaS experience preferred
  • Skilled in independent financial model building and recommendations
  • Solid knowledge of Generally Accepted Accounting Principles (GAAP)
  • Excellent analytical, organizational, and collaboration skills
  • Ability to simplify processes in a fast-paced, high-growth environment
  • Strong Excel/Google Sheets expertise, with experience managing large datasets
  • Familiarity with SQL or a willingness to learn

Responsibilities

  • Analyze company performance against core KPIs to identify risks and opportunities
  • Build detailed empirical financial models to support recommendations
  • Evaluate daily usage trends and present insights to executives
  • Track the bookings pipeline and forecast its impact on financial performance
  • Gain a deep understanding of Databricks' business model for forecasting and insights
  • Collaborate with sales strategy and operations, providing actionable insights to finance leadership

Benefits

  • Comprehensive benefits package including healthcare and wellness resources
  • Opportunities for professional development and career growth
  • Flexible work environment to promote work-life balance
  • Inclusive culture that values diversity and employee engagement
Full Job Description
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.

Zone 1 Pay Range

$137,400-$189,000 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

$123,700-$170,050 USD

BenefitsAt 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.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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