Join to apply for the Analyst, Finance Data and Systems role at Databricks
Join to apply for the Analyst, Finance Data and Systems role at Databricks
GAQ226R199
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. This role requires a collaborative and detail-oriented individual who can design, build, and support scalable solutions across Finance.
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
- 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)
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 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.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
FinanceIndustries
Software Development
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