Pricing Strategy Analyst
我们正在寻找一个 ** 价格策略分析师**加入 Procore 的企业战略团队。在这个角色中，你将是我们定价，包装和货币化策略背后的数据和分析引擎，将交易，销售和产品数据转换为决定的商业信号。你还将领导整个 Procore 组合中的小型定价倡议，包括我们的新兴 AI 产品。该职位的主要目标是确保 Procore 的定价决策基于清晰，准确和精良来源的数据。作为一个 **定价战略分析师**,你将与产品，销售，财务和营销合作，以分析我们的定价和包装在市场上如何表现并建立改善它们所需的可见性。使用你的结构化解决问题，数据分析和执行沟通技能来塑造 Procore 从我们建造和购买的东西中获得价值的方式。如果你想实践工作来推动顶级增长并连接建筑中的每个人，今天就申请加入我们的团队！这个职位报告给高级管理员的定价和货币化策略，可以远程位于美国。我们正在寻找有人立即加入我们。**你会做什么：** - 从假设到建议，与产品，销售，财务和营销合作开展定价计划。构建并压力测试定价决策背后的业务案例，包括细分层次性能，食用性调整的 ARR 影响以及迁移和货币化规模。-分析交易，预订，折扣和产品数据来确定解释我们的定价和包装表现如何的商业信号，并在低绩时诊断根本原因，无论是包装设计，销售执行还是市场适应。- 设计和运行市场，竞争力和付费愿意研究，包括赢/损失和价格弹性分析，以在达到领导地位之前进行压力测试定价假设。- 构建并维护定价和包装报告和仪表板，使产品，销售和财务可见于业绩，与数据团队合作保持指标和数据来源准确和一致。- 将分析转化为少量明确的要求驱动建议，向高管提出这些建议，并挑战它们。- 与定价操作，销售，客户成功，交易桌和营销合作伙伴确保批准的决定是经营性的，并且确保通过的决策是有效的。
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We're looking for a **Pricing Strategy Analyst** to join Procore's Corporate Strategy team. In this role, you'll be the data and analytics engine behind our pricing, packaging, and monetization strategy, turning transaction, sales, and product data into the commercial signals that inform our decisions. You'll also lead smaller pricing initiatives across the full Procore portfolio, including our emerging AI offerings. The primary goal of this role is to make sure Procore's pricing decisions are grounded in clear, accurate, and well-sourced data.
As a **Pricing Strategy Analyst**, you'll partner with Product, Sales, Finance, and Marketing to analyze how our pricing and packaging perform in the market and to build the visibility needed to improve them. Use your structured problem-solving, data analysis, and executive communication skills to shape how Procore captures value from what we build and buy. If you want hands-on work to drive top line growth and connect everyone in construction, apply today and join our team!
This position reports to the Senior Manager of Pricing & Monetization Strategy and can be based remotely in the US. We're looking for someone to join us immediately.
**What you'll do:**
- Lead pricing and packaging initiatives from hypothesis through recommendation, in partnership with Product, Sales, Finance, and Marketing
- Build and stress-test the business case behind pricing decisions, including segment-level performance, cannibalization-adjusted ARR impact, and migration and monetization sizing.
- Analyze transaction, bookings, discounting, and product data to identify the commercial signals that explain how our pricing and packaging perform, and diagnose the root cause when they underperform, whether it is 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 pressure-test pricing hypotheses before they reach leadership.
- Build and maintain pricing and packaging reporting and dashboards that give Product, Sales, and Finance visibility into performance, 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 make sure approved decisions are operationalized and communicated to the field.
**What we’re looking for:**
- 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, with experience building revenue impact and unit economics models. Hands-on experience querying and analyzing large datasets (e.g., SQL), building reports in a BI tool (e.g., Tableau, Power BI) is a plus
- Ability to synthesize qualitative inputs, such as call transcripts and field feedback, into clear themes that support pricing recommendations.
- Cross-functional collaboration and influence skills, with experience partnering with Product, Sales, Finance, and Marketing teams.
- 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.
## **Additional Information**
**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. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.
### **For Los Angeles County (unincorporated) Candidates:**
Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of 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 the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.