Senior Sales Compensation Analytics & Insights Lead

LinkedIn; California (MO); Hybrid; USD 101,000 - 164,000; Full time

Job summary

LinkedIn in the San Francisco Bay Area seeks a Senior Business Analyst for Global Sales Compensation Reporting & Insights to drive analytical support across compensation design, performance, and financial analysis.

You will partner with Sales Compensation, Sales Operations, HR, Finance, Accounting, and engineering to translate complex questions into actionable insights and dashboards, influencing executive decisions—blending modeling with data-driven storytelling.

Qualifications

• BA/BS degree in Business, Finance, Economics, Analytics, Information Systems, or a related field, or equivalent experience.
• 4+ years of experience in sales compensation, finance, sales operations, or related analytics.
• 3+ years of experience with advanced Excel modeling or similar tools.
• 3+ years of cross-functional stakeholder partnership for analytical insights.

Responsibilities

• Deliver sales compensation design analytics, including what-if scenarios and cost modeling.
• Analyze compensation trends to identify cost drivers and translate into insights using Excel, SQL, BI tools.
• Support monthly financial close and commission analysis and related reviews.
• Develop executive-ready insights, dashboards, and recurring reports for Sales leaders.
• Partner with cross-functional teams to translate complex questions into clear decision support.

Skills

Sales Compensation

Financial Analysis

Financial Modeling

Business Analytics

SQL

Education

BA/BS degree in Business, Finance, Economics, Analytics, Information Systems, or a related field, or equivalent experience.

Tools

SQL

Power BI

Tableau

Job description

LinkedIn in the San Francisco Bay Area seeks a Senior Business Analyst for Global Sales Compensation Reporting & Insights to drive analytical support across compensation design, performance, and financial analysis.

You will partner with Sales Compensation, Sales Operations, HR, Finance, Accounting, and engineering to translate complex questions into actionable insights and dashboards, influencing executive decisions—blending modeling with data-driven storytelling.