Revenue Compensation Systems Analyst

Human Interest; San Francisco (CA); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

401(k) matching

Health, dental, vision

Parental leave

Work-from-home stipend

Mental health support

Fertility benefits

Student loan resources

Stipends for lifestyle

Team offsites

Job summary

Human Interest, a high-growth fintech, seeks a Revenue Compensation Analyst to design and manage compensation plans, test changes, and deliver analysis-driven insights. You will work with finance, HR, and sales leaders to optimize quotas and commissions while adapting to evolving business needs.

The role emphasizes data analysis, collaboration, and applying best practices for incentive programs across multiple departments, in a fast-paced, team-oriented environment.

Qualifications

• 3+ years of experience creating and/or managing sales or incentive compensation plans or equivalent sales analysis experience.
• Data-driven approach to quota analysis and performance assessment.
• Strong understanding of data structures between systems.

Responsibilities

• Meet and collaborate with Finance, Human Resources, and Revenue to drive compensation plans.
• Manage and administer all aspects of assigned commission plans from start to finish.
• Improve and automate processes for timely and accurate commissions across departments.
• Conduct ad-hoc analysis of Revenue team performance and plan effectiveness.
• Maintain quotas and measure attainment for Revenue team.
• Manage ramp cycles for new hires and cascade quota coverage.

Skills

Sales compensation

Data analysis

Excel/Spreadsheets

Communication with sales

Adaptable

Attention to detail

Tools

Salesforce

CaptivateIQ

Job description

Human Interest, a high-growth fintech, seeks a Revenue Compensation Analyst to design and manage compensation plans, test changes, and deliver analysis-driven insights. You will work with finance, HR, and sales leaders to optimize quotas and commissions while adapting to evolving business needs.

The role emphasizes data analysis, collaboration, and applying best practices for incentive programs across multiple departments, in a fast-paced, team-oriented environment.