GAQ226R252
Databricks is looking for a Finance Manager to join our FP&A team in our mission to help data teams solve the world's toughest problems. In this unique role, you will serve as a trusted advisor to marketing leadership, providing financial insights, analysis, and guidance to optimize marketing investment decisions and accelerate business growth.
As an analytical finance professional who has experienced hyper-growth, you will help the business to be successful and achieve their goals, grounded in financial reality and modeling and analysis. You will work independently, have deep experience in system and process improvements to achieve scale, and are comfortable distilling complex data into models and recommendations. Reporting to the Director of Marketing Finance, you will have the opportunity to make a significant impact through ownership of large-scale data, tracking critical metrics, building scalable reporting frameworks and dashboards, ad hoc performance analysis, and executing other core FP&A responsibilities.
The impact you will have:
- Generate insightful recommendations based on hands-on analytics, financial modeling, and strategic analyses that directly influence key business decisions and improve the reporting of critical metrics
- Build and maintain complex financial models to evaluate marketing program effectiveness, customer acquisition costs, lifetime value, and marketing funnel metrics
- Analyze marketing campaign performance and provide actionable insights to improve efficiency, optimize spend allocation, and drive better returns on marketing investments
- Become an expert on the underlying data architecture and use it to report on business performance
- Work and build relationships with strategic partners across finance, accounting, and marketing analytics & operations
- Develop and enhance policies and procedures, and implement system improvements to support hyper-growth at scale
- Support annual operations planning for marketing spend, collaborating closely with stakeholders to understand business drivers and risks
- Partner with Marketing business partners in managing budgets and forecasts, maintaining accuracy to within 2% variance, and providing ongoing analysis of actuals versus plan and forecast
- Provide support for headcount management
- Perform monthly/quarterly close activities with accounting, including the review of expense accruals
What we look for:
- Bachelor's Degree in Business, Finance, Economics, Accounting, or a comparable quantitative field
- 5+ years of FP&A, Strategic Finance, or related experience (e.g., Investment Banking, Management Consulting), with a focus on technology; familiarity with the software industry, SaaS business, or consumption-based models
- Experience working with Marketing, or go-to-market organizations, with a deep understanding of GTM motions
- A strong understanding of marketing metrics, including CAC, LTV, attribution models, and digital marketing analytics, is a major plus
- Experience with SQL and analytics/reporting tools
- Strong understanding of data structuring and data flows across multiple platforms/tools
- Financial modeling skills and quantitative analysis experience
- Expert in Excel and Google Sheets; can maintain complex spreadsheets, comfortable with large datasets, different modeling techniques, and shortcuts
- Experience with GAAP and non-GAAP financial metrics
- High competency with systems such as Anaplan, Netsuite, Salesforce, Coupa, or Workday
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 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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
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.
