Financial Systems Analyst

The Financial Systems Analyst is a hands-on technical role supporting the data systems, automation, and reporting that power financial close, global tax compliance, and operational decision-making across SpaceX. You will build and maintain reliable, auditable tools and data pipelines against large financial datasets, with high visibility inside the finance organization and direct impact on the accuracy and speed of period-end close and statutory reporting. 

This role sits at the intersection of finance and engineering. You will partner with Accounting, Tax, Engineering, Operations Management, and other stakeholders to turn cross-system data into trusted reporting and to remove manual work from finance processes. The ideal candidate is comfortable writing complex SQL, building data models and automation, investigating data discrepancies, and shipping structured work in a fast-paced environment. 

• →Design, build, and maintain data models and financial data products that support revenue close, KPI tracking, management reporting, and related finance workflows 
• →Write complex SQL for financial data modeling, incremental processing, cross-system reconciliations, and performance optimization on large datasets 
• →Build Python automation to reduce manual work in finance processes, including data movement, report generation, validation, and pipeline orchestration 
• →Create reports, tools, and standardized metrics for operational measurement and decision-making using SQL, Excel, and Power BI 
• →Own data integrity for key financial datasets; implement data quality tests, business-logic validations, and documentation to ensure accuracy, audit ability, and reproducibility 
• →Support monthly, weekly, and ad-hoc close and tax filing cycles by producing timely, accurate reporting data and responding to questions from Accounting and Tax stakeholders 
• →Work with cross-functional teams to understand current processes, identify system and process gaps, and drive enhancements that improve productivity and reduce cycle time 

• Bachelor’s degree in finance, accounting, engineering, mathematics, computer science, information systems, data analytics, or another technical discipline 
• 1+ years of professional experience in finance, accounting, data, or a related analytical role (internship experience applies) 
• 1+ years of experience writing SQL and using Excel (internship experience applies) 

• Hands-on experience with dbt or a similar data transformation framework for building layered, tested, incremental models 
• Skills in OLAP tools, applied business analytics and statistics, forecasting, and general modeling experience of complex non-linear systems 
• Experience in working in fast paced development environments 

• Willingness to work long hours and weekends as needed
• This position is based in Hawthorne, CA, and requires being onsite - remote or hybrid work will not be considered

• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.  

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.