Niantic
Executive Compensation Analyst
US - United States · Senior
Sponsorship not specified$102k-$126kDetected 42 days ago
SQLData VisualizationStatisticsAccountingFP&ACompensationSASCommunicationActuarial Science
About the role
- Salary: $101,712 - $126,103 per year Apply Now!
- GH LINK: or email your resume to: employment@scopely.com GH Req.
- ID# 00087155 For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below.
Responsibilities
- Deliver automated flux and variance analyses, and translate insights into executive-ready narratives for senior leadership.
- Develop automated dashboards that shorten close cycles, improve accuracy, and reduce manual effort.
- Liaise daily with Accounting, FP&A, Legal, and HR to resolve data issues and advise on program design, communicating complex findings in clear business terms.
- Lead continuous-improvement initiatives and develop training materials to upskill team members on new compensation analytics tools and best practices.
Requirements
- Must have experience with the following:
- Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com.
Nice to have
- Master's degree or foreign equivalent in Finance, Accounting, Statistics, Actuarial Science, or a related field, plus two (2) years of experience in the position offered or a related occupation.
Compensation
- $101,712 - $126,103 per year
- or email your resume to: employment@scopely.com
- For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below.
- In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off.
- Base pay offered may vary depending on job-related knowledge, skills, and experience.
- CA, CO, NJ, NY, and WA Annual Salary Range
Benefits
- Build and run monthly and quarterly long-term incentive and equity compensation expense and forecast models.
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