Financial Analyst II, Financial Strategy, Planning & Analysis

Responsibilities

• Develop and maintain core financial models to forecast diverse business scenarios and future workforce requirements.
• Create presentation materials to explain complex budgetary and financial analysis to senior management and key cross-functional stakeholders through the use of detailed charts, graphs, and clear visualizations.
• Data-Driven Analysis: Extract, manipulate, transform, and interpret multiple complex financial datasets to assess Lab-wide business performance.
• Data Integrity: Proactively monitor key datasets utilized for monthly financial reporting; troubleshoot and resolve financial data deviations and exceptions.
• Stakeholder Collaboration: Partner across multi-disciplinary teams to serve as a trusted financial advisor to internal JPL stakeholders.
• Process Innovation: Partner with senior analysts to identify, design, and implement process improvements and system enhancements across the FSP&A organization.

Requirements

• Typically requires a bachelor’s degree in finance, Accounting, Statistics, Economics, Data Science, Business Management, or a related discipline with a minimum of 3 years of related experience; OR a master’s degree in a similar discipline with a minimum of 1 year of experience; OR a PhD.
• Strong understanding and practical application of financial planning, budget formulation, data analysis, statistical analysis, and information systems.
• Proven Excel skills (Intermediate to Advanced level) and strong baseline experience using SQL to extract, query, manipulate, and transform data.
• Demonstrated ability to independently generate complex financial reports, analyze financial information, and problem-solve.
• Strong agility to manage competing priorities, meet deadlines in a fast-paced environment, and bring a positive attitude and an aptitude for learning new technology.
• Proven track record of handling sensitive and confidential information with absolute discretion.

Qualifications

• Familiarity with AI-enabled productivity, analytics, or automation tools, including the ability to evaluate practical use cases for improving reporting, forecasting, data validation, and financial analysis workflows.
• Experience with analytical and visualization tools such as Python, SAS, or Power BI.
• Basic understanding of Cost Accounting Standards (CAS) and Federal Acquisition Regulations (FAR).
• Strong analytical, strategic planning, and complex problem-solving abilities.