Senior Compensation Analyst
Komodo Health- Full Time
- Senior (5 to 8 years)
Candidates should possess 5+ years of experience in a compensation role within the technology industry or a similarly applicable field, along with proven background in both compensation analytics and technology solutions. Advanced proficiency in Google Sheets/Excel, including experience building complex analyses and models, is required, alongside the ability to deliver high-quality work while focusing on accuracy and top-notch critical thinking skills.
The Senior Compensation Analyst will assist in the overall compensation program development, including annual salary structure design and compensation planning, and will dive into data to build dynamic compensation models that provide insights and influence key decisions. They will create compelling narratives using data for program outcome reviews and retrospectives, manage program manager annual compensation processes, develop project plans for program execution, measure the effectiveness of compensation programs, identify and implement process improvements, and oversee and maintain comprehensive, up-to-date compensation resources while managing and consulting on other HR and compensation related projects as necessary.
Revenue intelligence platform for customer interactions
Gong provides a platform focused on revenue intelligence, which helps businesses capture and analyze customer interactions. The platform uses artificial intelligence to integrate various customer communications into one system, allowing companies to gain insights that inform their decision-making and enhance revenue growth. Gong caters to a wide array of clients, including sales, marketing, and customer success teams across different industries. Its subscription-based model allows organizations to pay for access to the platform, with pricing tiers based on user count and desired features. The main goal of Gong is to support businesses in optimizing their go-to-market strategies by delivering actionable insights derived from customer data.