Senior Pricing Intelligence Analyst

Overview

The organization is seeking a sharp, curious, hands-on analyst to join the Pricing team. This role supports how pricing and packaging are designed and monetized, including how AI is incorporated into pricing structures. You will partner with Sales, Product Management, Marketing, Finance, Legal, and IT, and provide analysis that informs senior leadership decisions.

Responsibilities

• Deal review and approval: Evaluate SMB sales opportunities against pricing guidelines and recommend approve, counter, or escalate decisions while balancing deal velocity with pricing discipline.
• Pricing insights and reporting: Build and maintain reporting across the product portfolio in Power BI or Tableau. Identify discounting patterns and price optimization opportunities, and interpret trends to support executive recommendations.
• Financial modeling: Create models to quantify revenue and margin impact of price changes, promotions, and packaging options.
• Packaging and AI monetization: Support analysis for simplified good/better/best tier structures and evaluate AI pricing model approaches such as credits, consumption, outcome-based, or hybrid structures.
• Portfolio simplification: Contribute to SKU rationalization across the combined portfolio.
• Competitive and market intelligence: Benchmark competitor pricing and revenue models and track how the CX market is evolving.
• Seller enablement and execution: Help develop pricing collateral, ROI tools, and guidance; partner with Sales Ops and Finance so pricing changes land cleanly in the field and in CRM.
• Ad hoc projects: Lead high-priority pricing initiatives from initial question through recommendation.

Requirements

• B2B SaaS or software pricing experience, including subscription metrics such as ARR, ACV, multi-year deals, renewals
• 2–5 years of experience in pricing, deal desk, FP&A, revenue or sales operations, product marketing, consulting, or a related analytical role
• Strong Excel skills and demonstrated financial modeling capability (comfortable building models from scratch and explaining all assumptions)
• Experience with Power BI or Tableau, and Salesforce or a similar CRM
• Clear written, verbal, and presentation skills, able to turn analysis into a crisp recommendation
• Proven ability to work independently in a remote, results-oriented environment and across a matrix organization
• Bachelor’s degree in Finance, Economics, Mathematics, Marketing, Business, or a related field

Preferred Qualifications

• Exposure to packaging, AI, platform, or consumption-based pricing
• Contact center, workforce management, or CX software knowledge
• Basic understanding of SQL, Python, R, or other data skills

Compensation & Benefits

Not specified.

Location

Work is fully remote.