Lead Compensation Analyst

About Us

Shark Ninjais a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positivelyimpactpeople’s lives in homes around the world.
Powered by two trusted, global brands, Shark and Ninja
, the company has a proven track recordof bringing disruptive innovation to market and developing one consumer product after another has allowed

Shark

Ninjato enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than4,100associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

At Shark Ninja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in.

Shark Ninja is growing fast, and our compensation programs need to grow with it. As Lead Compensation Analyst, you will own the day-to-day execution of our global compensation programs and the systems behind them, supporting employees across the Americas, EMEA, and APAC. Reporting to the Sr. Director, Total Rewards, you will partner daily with HR Business Partners, Talent Acquisition, HRIS, Payroll, Legal, and Finance.

This is a hands-on, high-ownership role for someone who enjoys the operational side of compensation as much as the analysis. The Lead Compensation Analyst will make sure our benchmarking and cycle management tools work the way they should, our job architecture holds up as we scale, and our pay decisions are grounded in solid data.

• Own the end-to-end administration of our compensation cycles, including planning, system configuration, approval workflows, and employee communications.
• Own the configuration, governance, and continuous improvement of our compensation systems, including survey reporting, benchmarking, and cycle management tools.
• Run our annual market benchmarking process, including survey submissions, data validation, and market pricing of new and existing roles.
• Assist with stock plan administration for equity awards in Fidelity
• Recommend updates to salary structures, ranges, bonus targets, and equity guidelines based on market data and internal equity.
• Serve as the go-to partner for HR Business Partners, Talent Acquisition, and managers on offers, promotions, transfers, and off-cycle requests.
• Own global pay reporting, including pay transparency and disclosure requirements across the geographies we support.
• Lead ad hoc analyses across incentive compensation, equity programs, pay equity, and cost modeling.
• Use AI, automation, and better tooling to cut manual effort and strengthen data integrity across our compensation processes.
• Support compensation training and communications for managers, HR partners, and employees.

• 5+ years of experience in compensation or people analytics; 7+ years preferred.
• Hands-on experience administering compensation cycles and owning compensation management systems such as Pave or Oracle HCM, plus survey reporting tools such as Radford or Mercer.
• Deep knowledge of benchmarking methodology, survey submission, job leveling, salary structure design, and market pricing.
• Advanced Excel / Google Sheets skills and a real appetite for turning raw data into decisions, including with BI and AI tools.
• Experience supporting global compensation programs across multiple regions, including multi-country pay practices and pay transparency requirements.
• Strong communication skills, with the ability to make complex compensation concepts clear to employees and senior leaders.
• Sound judgment, attention to detail, and discretion when handling sensitive and confidential information.

• Certified Compensation Professional (CCP) or a related certification.
• Experience with Oracle HCM, Pave, Fidelity PSW, Radford and Mercer preferred
• Demonstrated success using AI and automation to improve…