Senior Staff Data Analyst (AI Solutions - Machines)

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

As a Senior Product Analyst at CyberArk, you’ll join the AI Solutions group, contributing to the development of intelligent identity security capabilities. This role sits at the intersection of data, product, and AI - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. You’ll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing AI-driven features that improve the performance, usability, and intelligence of our offerings.

• Analyze product usage and behavioral data to support the design and improvement of AI-powered features.
• Work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and user experience.
• Build and maintain dashboards, KPIs, and reports that drive product decision-making.
• Contribute to the development and validation of success metrics for new capabilities.
• Collaborate with data scientists on experiments, A/B tests, and model monitoring efforts.
• Ensure data quality and support scalable pipelines by working with data engineering teams.
• Communicate findings through clear presentations and visualizations that influence roadmap decisions.
• Develop a deep understanding of product workflows and user behavior to guide analytical priorities.
  
  

Qualifications

• 4+ years of experience in an analytics role.
• Bachelor’s degree in industrial engineering, Information Systems, or related discipline.
• Proficiency in Python for data manipulation, analysis, and basic scripting is required.
• Strong SQL skills and experience querying structured data sources.
• Familiarity with BI tools such as Tableau, Looker, or Power BI.
• Analytical mindset with a keen interest in connecting data to user experience and product performance.
• Excellent communication skills-able to explain complex ideas clearly to technical and non-technical audiences.
• Comfortable working collaboratively in cross-functional teams.
  
  

Additional information

• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Understanding of A/B testing, experimentation frameworks, or product metrics design.
• Interest or experience in cybersecurity, AI/ML, or identity security.
  
  

Our 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.