Overview
This Pricing Strategy Analyst role supports the organization’s corporate strategy work by turning transaction, sales, and product data into actionable commercial insights for pricing, packaging, and monetization decisions. The position also leads smaller pricing initiatives across the organization’s full product portfolio, including emerging AI offerings.
The analyst will partner with Product, Sales, Finance, and Marketing to analyze pricing and packaging performance in the market and develop visibility to improve it. The role reports to the Senior Manager of Pricing & Monetization Strategy and can be based remotely in the US. The organization is looking to fill the position immediately.
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, and migration and monetization sizing
- Analyze transaction, bookings, discounting, and product data to identify commercial signals and diagnose root causes when performance 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 test pricing hypotheses before leadership review
- Build and maintain pricing and packaging reporting and dashboards for Product, Sales, and Finance visibility, working with data teams to keep metrics and data sources accurate and consistent
- Translate analysis into a small number of clear, claim-driven recommendations, present them to executive leaders, and defend them 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, with 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 experience building revenue impact and unit economics models
- Hands-on experience querying and analyzing large datasets (e.g., SQL) and 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 that support pricing recommendations
- Strong cross-functional collaboration and influence skills, including experience 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
Preferred Qualifications
- Experience with B2B SaaS metrics (e.g., ARR, net revenue retention, win rate, discount rate)
- Hands-on experience with SQL and BI reporting tools (e.g., Tableau, Power BI)
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 the candidate’s job-related skills, experience, education or training, and location.
Location
For Los Angeles County (unincorporated) Candidates
The organization will consider for employment all qualified applicants, including those with arrest or conviction records, 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 on the following job duties, potentially resulting in withdrawal of the conditional offer of employment:
- appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing information technology systems and platforms;
- interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and
- exercising sound judgment.