Palo Alto Networks · Office - USA - CA - Headquarters ·
Senior Analyst/Manager in Sales Operations who builds predictive models, automates BI workflows, and crafts executive insights to optimize a multi-billion-dollar cybersecurity sales funnel using SQL, Python, Tableau, and AI tools.
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
Our Sales Operations team is the backbone of the NAM sales organization. We provide the infrastructure, data engineering, and strategic insights that allow our sales teams to focus on what they do best: protecting our customers. We value innovation, transparency, and a relentless focus on data accuracy and intelligent automation.
Your Career
As the Senior Analyst/Manager, NAM Business Insights (IC), you will serve as a technical and operational anchor within the North America (NAM) Shared Services team. You will be responsible for transforming raw operational data into the deep business insights and strategic narratives that drive our theater’s leadership decisions.
This role sits at the critical intersection of Sales Operations, Finance, and Data Science. We are looking for a high-caliber professional with a strong data science mindset who can build predictive modeling workflows, manage complex funnel mechanics, and engineer AI-driven automation using frontier tools—all while maintaining the rigorous reporting checks and balances required for executive-level reviews.
Forecasting & Funnel Management: Optimize the theater’s core forecasting methodology by blending advanced predictive modeling with existing operational frameworks. Architect waterfall analysis models to track pipeline health, leakage points, and conversion velocity across the entire sales funnel.
Business Insights & Strategic Reporting: Move far beyond basic reporting to deliver deep, diagnostic analytics. Direct the end-to-end delivery of critical business reviews, translating complex theater-level datasets into high-fidelity, actionable narratives for Sales and GTM Leadership.
Executive Business Reviews & Deal Insight: Architect high-impact strategic presentations for Sales and GTM Leadership; lead the analysis of top-tier opportunities and deal-band trends to ensure executive visibility into key growth drivers.
Predictive Modeling & Advanced Analytics: Build and refine data science models that project revenue, predict deal slippage, and evaluate historical performance patterns to drive absolute business predictability.
AI-Driven Operational Innovation: Proactively identify operational friction and deploy intelligent automation. Partner closely with IT and Enterprise Architecture teams to architect and scale secure workflows leveraging Google Gemini Enterprise and agentic frameworks.
Data Governance & Metric Integrity: Establish rigorous data auditing protocols. Maintain an uncompromising focus on data engineering quality to ensure 100% accuracy across all sales and financial performance metrics.
Cross-Functional Collaboration: Partner closely with Finance, IT, GTM Strategy, and Global Operations to drive theater-wide alignment and maintain a unified source of truth.
Qualifications
Your Experience
Professional Background: 5+ years of progressive experience rooted in Data Science, Business Intelligence (BI), Sales Operations, or quantitative Finance. A hybrid profile that deeply understands both statistical data modeling and the operational mechanics of a B2B sales engine is essential.
Data Science & Modeling Mastery: Advanced proficiency in BigQuery and SQL is required, along with Python (or R) for machine learning, automated script generation, data extraction, and statistical modeling. Highly skilled at transforming messy, raw data into clean, structured datasets optimized for downstream analytics.
BI & Technical Platform Expertise: Expert proficiency in Tableau, Salesforce, and Salesforce Forecasting (specifically Flow and Waterfall analytics). Proven ability to innovate through the architecture of complex BI data models and automated workflows. Experience with enterprise Sales Planning systems is a major advantage.
AI & Productivity Automation: A proven track record or hands-on capability leveraging generative AI platforms - such as Google Gemini Enterprise - to automate analytical tasks, summarize insights, or streamline manual processes.
Frontier AI Tooling (Preferred): Familiarity with advanced AI development workflows - such as using Claude Code for agentic terminal tasks and automated script generation - to accelerate internal data workflows.
Theater-Scale Execution: Experience supporting operational cadences for multi-billion dollar business units. Proven ability to navigate high-pressure deadlines (such as month-end and quarter-end close) with zero-defect quality and a rigorous analytical mindset.
Education: Bachelor’s degree in a highly quantitative field (Data Science, Statistics, Computer Science, Engineering, Finance, or Business). An MS in Data Science / Business Analytics or an MBA is highly preferred.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$127,000.00 - $205,500.00/yrOur Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected].
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.