Pricing Strategy Analyst

Overview

This role is for a Pricing Strategy Analyst supporting corporate strategy and pricing, packaging, and monetization decisions. You will use data and analytics to convert transaction, sales, and product information into commercial insights that guide pricing recommendations. You will also lead smaller pricing initiatives across the organization’s portfolio, including emerging AI offerings.

Responsibilities

• Lead pricing and packaging initiatives from hypothesis through recommendation, partnering with Product, Sales, Finance, and Marketing
• Build and stress-test business cases for pricing decisions, including:
  • Segment-level performance
  • Cannibalization-adjusted ARR impact
  • Migration and monetization sizing
• Analyze transaction, bookings, discounting, and product data to identify commercial signals explaining pricing and packaging performance
• Diagnose root causes when pricing underperforms (e.g., package design, sales execution, or market fit)
• Design and run market, competitive, and willingness-to-pay research, including win/loss and price elasticity analysis, to validate pricing hypotheses before executive review
• Build and maintain pricing and packaging reporting and dashboards to provide Product, Sales, and Finance visibility into performance; coordinate with data teams to keep metrics and data sources accurate and consistent
• Translate analysis into a small number of clear, claim-driven recommendations; present to executive leaders and defend under challenge
• Partner with Pricing Operations, Sales, Customer Success, Deal Desk, and Marketing to ensure approved decisions are operationalized and communicated to the field

Requirements

• Bachelor’s degree in Business, Finance, Economics, Statistics, or a related field
• 3+ years of experience in pricing, monetization, strategy, business or data analytics, financial planning and analysis, or consulting, including 2+ years inside a pricing or monetization practice at a top-tier strategy firm
• Track record of framing ambiguous problems into clear analytical frameworks and presenting recommendations to cross-functional and senior audiences
• Experience leading projects or workstreams from analysis through recommendation, with the ability to balance multiple priorities
• Advanced Excel and financial modeling skills, including building revenue impact and unit economics models
• Hands-on experience querying and analyzing large datasets (e.g., SQL)
• Experience building reports in a BI tool (e.g., Tableau, Power BI) is a plus
• Ability to synthesize qualitative inputs (e.g., call transcripts and field feedback) into clear themes supporting pricing recommendations
• Strong cross-functional collaboration and influence skills, partnering with Product, Sales, Finance, and Marketing
• Familiarity with B2B SaaS metrics (e.g., ARR, net revenue retention, win rate, discount rate) is a plus
• Curiosity, high agency, and an owner’s mindset with a strong bias for action

Compensation & Benefits

• Base pay range: 81,600.00 - 112,200.00 USD annual
• This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation
• Actual compensation will be based on job-related skills, experience, education or training, and location

Location

• Remote in the US
• For Los Angeles County (unincorporated) Candidates:
  • Qualified applicants will be considered in accordance with applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act
  • A criminal history may have a direct, adverse, and negative relationship to the following job duties, potentially resulting in the withdrawal of a conditional offer of employment:
    • Appropriately managing, accessing, and handling confidential information, including proprietary and trade secret information, as well as accessing company information technology systems and platforms
    • Interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues
    • Exercising sound judgment