Analyst, Finance Data and Systems

Databricks is looking for a Finance Data and Systems Analyst, reporting to the Finance Data and Systems Senior Manager. You will combine finance and accounting expertise with technical proficiency in SQL and Python to support the FP&A Sales Finance team in driving long-term growth by improving visibility and predictability across the business. You will automate financial analyses, forecasting, and management reporting.

The impact you will have:

• Extract data from multiple sources using SQL and Python to create standardized tables in the data lake for revenue recognition, expenses, and commissions (actuals and forecasts)
• Build and maintain source of truth for sales finance metrics to support monthly/quarterly close and ad-hoc reporting
• Build dashboards to better understand business performance and gain insights
• Create and maintain documentation of data lineage, data models, and business logic
• Adhere to SOX control standards with version control of code changes, peer reviews, data quality monitoring, data reconciliations, and regular manual reviews
• Provide support during close and ensure timely resolution of data-related issues

What we look for:

• Bachelor's degree in Computer Science, Engineering, Finance, Economics, or comparable quantitative field
• 3+ years of experience in operations, finance, consulting, or engineering; familiarity with software industry (SaaS) is a plus
• Working experience with SQL and/or Python
• Proficiency in Excel or Google Sheets
• Proficiency with systems such as Salesforce, NetSuite, Anaplan, Coupa, etc. is a plus
• Ability to transform datasets to create meaningful reports and visualizations/dashboards using Databricks, Tableau, or comparable software
• Comfortable managing large datasets using relational databases and automating workflows (e.g., cleaning and manipulating data from multiple sources)