Full-Time
Senior Financial Analyst
Sales Finance
Updated on 8/20/2026
Databricks
10,001+ employees
Data lakehouse platform for analytics
Compensation Overview
$123.7k - $189k/yr
Seattle, WA, USA + 3 more
More locations: San Francisco, CA, USA | Bellevue, WA, USA | Mountain View, CA, USA
In Person
Bachelor's
 Finance & Banking (1) |
|---|
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- A bachelor's degree in Business, Economics, Accounting, Finance, or a comparable field is required.
- At least 4 years of experience in corporate finance, management consulting, or investment banking is required.
- Experience building financial models independently and preparing recommendations is required.
- A solid understanding of Generally Accepted Accounting Principles is required.
- Experience simplifying and scaling while supporting a fast-moving, high-growth business is required.
- Expertise in Excel or Google Sheets, including maintaining complex spreadsheets, is required.
- The ability to manage large datasets and driver-based models is required.
- Prior experience using SQL, or willingness to learn SQL, is required.
- The ability to prioritize objectives in a fast-paced environment and deliver work in a timely manner is required.
- Own and improve forecasts for bookings, invoicing, collections, and cash while identifying key risks and opportunities.
- Develop a deep understanding of the company’s business model to drive forecast and business insights.
- Analyze company performance against core financial and operational key performance indicators 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.
- Partner cross-functionally across Finance and Sales Strategy.
- Analyze usage and invoicing trends.
- Provide insights and recommendations to Finance and go-to-market leadership that improve forecast reliability, enhance executive reporting, and support investment decisions and long-term growth.
- Familiarity with the software industry and software as a service is preferred.
- Excellent analytical, organizational, and collaboration skills are desired.
- Curiosity to learn and solve problems independently is desired.
Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- Databricks announced $5 billion funding on August 13, 2026, at a $190 billion valuation.
- February 9, 2026 revenue run-rate hit $5.4 billion, growing over 65% year-over-year.
- Electric joined Databricks on August 11, 2026, strengthening Lakebase for AI agents.
What critics are saying
- Judge Breyer let authors' copyright class action proceed on April 29, 2026.
- Poulin Holdings sued Databricks in Texas on March 11, 2026, over patents.
- Snowflake and Alphabet compete directly; Databricks' $190 billion valuation demands flawless IPO execution.
What makes Databricks unique
- Databricks owns the lakehouse stack, from Spark analytics to Lakebase PostgreSQL.
- Unity Catalog and open formats anchor governance across clouds, data, and AI workloads.
- Electric and Neon deepen agentic database capabilities beyond Snowflake's core warehouse focus.
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Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 1%2 year growth
↑ 0%Closes $5 billion strategic funding at a $190 billion valuation, led by Coatue, along with Blackstone, MGX, T.
The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.
Electric is now part of Databricks. We're joining Neon to make Lakebase the best platform for building apps and agents. Everything we've open sourced stays open source.
Databricks has appointed former Amazon Web Services executive Briscoe to lead its Asia Pacific & Japan partner organisation. She previously headed AWS's partner operations in the region and held similar roles at Microsoft and Cisco. The move supports Databricks' regional expansion. In April, the company named Simon Davies as regional leader and reported over 85% year-on-year growth in its fourth quarter. It now has more than 1,500 employees across Asia Pacific & Japan and plans to establish headquarters in Singapore. Databricks works with over 1,000 partners regionally and 8,000 globally through its Brickbuilder Partner Network. The company's AWS business has surpassed a $1 billion run rate. International Data Corporation forecasts Asia/Pacific AI spending will reach $175 billion by 2028.
Coatue Management is reportedly leading a $3 billion investment in Databricks, according to recent reports. The data analytics company previously raised roughly $5 billion earlier in 2026 at a $134 billion valuation. Databricks sells a lakehouse platform combining data lake and data warehouse capabilities and has expanded into AI software for enterprise applications. The company reported $5.4 billion in revenue run rate in February, up over 65% year on year, which grew to $6.9 billion by June. The earlier financing round included $2 billion in debt capacity intended to fund AI products, acquisitions and employee liquidity. At its current valuation, Databricks exceeds Snowflake's market capitalisation of approximately $83 billion. Management has indicated the company may remain private until market conditions improve.