AI Financial Analyst

Palo Alto Networks

23h • $87,000 - $142,000 • Onsite

About The Position

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary This is not a typical finance role. We are building a new team at the nexus of finance, data science, and artificial intelligence, and we are looking for the next generation of innovators to help architect our future. This role is designed for a rare talent who possesses both deep quantitative and computer science skills and a strong intuition for financial strategy. You won't just be automating existing processes; you'll be a trailblazer on a team dedicated to pioneering how we leverage AI and predictive analytics to drive our most critical financial and strategic decisions. You will partner with senior leaders across Finance, IT, and the wider business to design and implement novel solutions from the ground up. If you are passionate about building sophisticated models, discovering insights in complex data, and seeing your work directly influence multi-billion dollar decisions, this is a unique opportunity to define your career at the forefront of the industry.

Requirements

• This is an entry-level position ideal for a recent graduate (Bachelor's or Master's) or an early-career professional with 1-3 years of relevant experience.
• Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Economics, Finance, or a related STEM discipline.
• Proficiency in Python (pandas, NumPy, scikit-learn) and SQL for data querying.
• Experience applying machine learning concepts (regression, time-series) to real-world problems.
• Ability to speak "GAAP" and "SQL" fluently—explaining a P&L variance to a CFO and a schema change to an engineer.
• Familiarity with financial planning & analysis (FP&A) processes or accounting principles.
• Creative application of modern AI tools (e.g., Gemini, NotebookLM, Glean) to accelerate the development of predictive financial models, automate variance analysis and reporting, and transform finance workflows from data ingestion to executive summary.

Nice To Haves

• Experience with cloud data platforms (e.g., GCP, AWS, Azure).
• Knowledge of additional tools like R, or Excel (VBA, Power Query).
• Internship or project experience in a fast-paced, tech-driven environment.

Responsibilities

• Pioneer AI Solutions: Design, develop, and deploy machine learning models to solve complex financial challenges, including revenue forecasting, investment optimization, and operational efficiency.
• Architect Financial Systems: Build and scale robust data and automation pipelines using Python and SQL to serve as the foundation for advanced analytics and business intelligence.
• Develop Predictive Models: Integrate internal business data, historical trends, and external market signals to create sophisticated forecasting models that inform compensation strategy, resource allocation, and long-range planning.
• Drive Strategy with Data: Translate complex models and quantitative analysis into clear, actionable insights. Build and maintain interactive dashboards (Tableau/Power BI) to communicate findings and KPIs to executive leadership in real-time.
• Ensure Analytical Rigor: Conduct ROI and cost-benefit analysis for major company initiatives, ensuring our financial strategy is aligned with measurable, data-driven outcomes.
• Uphold Data Integrity: Champion best practices in data governance to ensure the accuracy, reliability, and security of our financial data throughout the entire analytics lifecycle.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level