Compensation Analytics Manager
- Santa Clara, CA
At Palo Alto Networks® everything starts and ends with our mission: protecting our way of life in the digital age by preventing successful cyberattacks. It’s not a small goal. It isn’t simple either, but we aren’t in this for the easy answer. As a company with a foundation in challenging the way things are done, we’re looking for innovators with a dedication to best. In return, your career will have a tangible impact – one that's working toward technology that affects every level of society. Our mission doesn’t happen by treading softly – no, it happens by defining an industry. It means building products that haven't been thought of. It means selling products with a solutions mindset. It means supporting the infrastructure of a company that moves at an incredible speed – intentionally – to stay ahead of the world’s next cyberthreat.
As a Compensation Analytics Manager, you will lead our efforts to develop deep insights about our compensation programs in a rigorous and scalable way. Compensation is a highly strategic and highly personal issue so the ideal candidate will be just as comfortable thinking through how to assess the P&L impact of a program change and the impact on our 8,000+ employees. You’ll lead our efforts to rethink our approach to compensation analytics and mentor other analysts to help accelerate their development.
Work with the Compensation Program Managers and People Analytics team, to develop and maintain an analytical platform for statistical and data visualization reviews in support of developing new and refining existing rewards programs.
Create new analytical frameworks and templates to allow us to deliver deep insights at scale.
Conduct deep analysis of our compensation programs to measure effectiveness and surface areas for improvement and then work with Compensation Advisors and People Business partners to clarify the implications for our business and people.
Bachelor's Degree or equivalent in Economics, Statistics, Social Science, I/O Psychology, Finance, Computer Science, or another field that uses quantitative analysis or equivalent practical experience
Experience managing and analyzing structured and unstructured data
Experience using Tableau, Alteryx, SQL, R, Python, STATA, SAS, etc
Experience applying statistical methods (e.g., correlations, regressions, A/B testing, GLM, decision tree, random forest, etc)
Able to manage a variety of projects and to effectively handle short notice assignments
Ability to learn quickly and think independently
Exceptional verbal, written and interpersonal skills
Ability to thrive in a fast paced, demanding environment across multiple time zones
Our People team at Palo Alto Networks works throughout the organization to enable...you guessed it, people. We’re one team – driven to one mission statement.
Each piece matters, and within the people team, you are focused on enabling our teams to resolve the world’s most challenging cybersecurity threats.
You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects – centered on what we believe is one of the most significant mission statements in the world.
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 firstname.lastname@example.org.
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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