Box is growing fast and we're just getting started. Our opportunity is meaningful: 500 million knowledge workers worldwide, struggling to manage, share, and secure information trapped in $45 billion of legacy, disconnected systems. Box's mission is to power how the world works together. Over the past 10+ years, we have redefined the way people work, and now we are creating and leading the transition to the cloud content management market. What will the next 10 years look like? Join us and help build it.
We are looking for a Compensation Analyst to join our Total Rewards team at Box and play a critical role to help us attract, reward and retain top talent globally. You’ll be instrumental in helping grow our business at scale - which is crucial because we’re scaling fast! This role will execute on our compensation programs using a data driven yet creative approach while partnering and collaborating with cross functional teams.
Conduct local market pricing analyses to formulate compensation recommendations
Stay on top of compensation trends by managing survey submissions, conducting data analysis, and networking internally and externally
Maintain systems integrity and operations as it relates to compensation within Workday and our market pricing system
Support in the consulting with People Partners, Recruiters, and Managers in all things compensationand resolve compensation issues using a data-driven approach as needed
Key player in executing our annual compensation process (merit, promotion, stock, bonuses)
Prepare ad-hoc analysis, reports and metrics.
Work cross-functionally to design and implement creative solutions to various compensation-related issues
Develop and document compensation program trainings, guidelines, policies and communication materials
Stay apprised of relevant compensation laws and regulations for compliance purposes
Bachelor’s Degree in Business Administration, Mathematics, Economics, Statistics, Human Resources or other field that uses quantitative analysis
2+ years of of experience in Compensation or Total Rewards
Demonstrated strong quantitative and data analysis skills + advanced proficiency in Excel
Knowledge of Workday preferred
Excellent detail-orientation, with a high level of accuracy and the ability to detect inconsistencies in data
Ability to manage and maintain sensitive, confidential information
Excellent planning, organizational and project management skills
Proven effectiveness working in dynamic, fast-paced environment with tight deadlines
Strong collaboration and communication skills (written, verbal + presentation)