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
- Bachelors 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 dont 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
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .
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.
Remote Work :
No
Employment Type :
Full-time
Your CareerOur 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 de...
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
- Bachelors 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 dont 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
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .
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.
Remote Work :
No
Employment Type :
Full-time
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