Mploy - דרושים
Mploy - דרושים

דרושים Data Analyst (Cortex Cloud ) בתל אביב

 \ 

Data Analyst (Cortex Cloud )

 נכון לתאריך

 

26/12/2025

 תל אביב

 Palo Alto Networks

**Our Mission

**At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.

Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

**Who We Are

**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 Description

****Your Career

**Our team is seeking a detail-oriented Data Analyst to contribute to the development of classifiers for sensitive information detection and to extract valuable insights from our data. The successful candidate will possess strong analytical and programmatic skills, with a critical eye for details, along with the ability to clearly communicate research findings.

Your Impact

  • Develop code for detecting sensitive information directly on the classification engine
  • Conduct research on sensitive data, including definitions, management practices, and detection methods
  • Analyze performance of the data classification solution
  • Develop data-driven reports and presentations
  • Maintain up-to-date datasets in a rich cloud environment
  • Provide data-driven recommendations to product and engineering teams

**Qualifications

**Your Experience

  • Bachelor's degree (BSc) in a quantitative field (e.g., Industrial Engineering, Statistics, Math, or Computer Science) or equivalent military experience.
  • Minimum of 2 years of experience working as a data analyst or in a similar role
  • Advanced proficiency in Python scripting
  • Strong data analysis skills, with hands-on experience using tools (e.g. Pandas)
  • Familiarity with regular expressions (Regex)
  • Experience querying databases using a query language (e.g. SQL)
  • Strong analytical skills and attention to detail

Nice to have

  • Experience in big data research and analysis
  • Experience with cloud service providers (AWS, GCP, Azure)
  • Experience working with noSQL databases (e.g. MongoDB)
  • Experience with LLMs, including designing effective prompts and utilizing agents for data tasks

**Additional Information

****The Team

**Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before.

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

**Our Commitment

**We’re problem solvers that 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 |** לפנייה למשרה יש להגיש מועמדות **|.

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.

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