Analyst, Finance Data and Systems

GAQ226R199Databricks 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. This role requires a collaborative and detail-oriented individual who can design, build, and support scalable solutions across Finance.The Impact You Will HaveExtract 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 reportingBuild dashboards to better understand business performance and gain insightsCreate and maintain documentation of data lineage, data models, and business logicAdhere to SOX control standards with version control of code changes, peer reviews, data quality monitoring, data reconciliations, and regular manual reviewsProvide support during close and ensure timely resolution of data-related issuesWhat We Look ForBachelor's degree in Computer Science, Engineering, Finance, Economics, or comparable quantitative field3+ years of experience in operations, finance, consulting, or engineering; familiarity with software industry (SaaS) is a plusWorking experience with SQL and/or PythonProficiency in Excel or Google SheetsProficiency with systems such as Salesforce, NetSuite, Anaplan, Coupa, etc. is a plusAbility to transform datasets to create meaningful reports and visualizations/dashboards using Databricks, Tableau, or comparable softwareComfortable managing large datasets using relational databases and automating workflows (e.g., cleaning and manipulating data from multiple sources)About DatabricksDatabricks 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.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, please visit Commitment to Diversity and InclusionAt 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 plianceIf 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. #J-18808-Ljbffr

Created: 2025-09-17