客户成功成果分析师

Procore Technologies is the leading technology platform for every stage of construction. We empower construction teams to drive efficiency and mitigate risk through actionable AI & data-driven insights. For over 20 years, we’ve been transforming the industry with purpose-built solutions for construction professionals, and we’re looking for talented people to help us build together.

We are looking for a **Senior CS Outcomes Analyst** to serve as the analytical engine behind how Procore’s Customer Success organization measures and improves performance. As a Senior CS Analyst on our **Customer Journey and Outcomes (CJ&O)** team, you’ll work closely with Customer Success leadership, Product, and Data Engineering to build reliable reporting, scale health frameworks, and transform complex post-sales data into clear operating decisions. Your strengths in advanced SQL, SaaS post-sales metrics, and data product QA will drive your success as we shift toward outcomes-based customer accountability.

You will report to the **Director of Customer Journey and Outcomes** and can be based remotely within the US.

**What You’ll Do**

- Build Operating Reporting Stacks: Own the executive dashboards, scorecards, and reporting infrastructure feeding CCO weekly cadences, QBRs, and new customer health frameworks.
- Support Account Prioritization Systems: Deliver reporting layers covering segment trends, reason codes, usage fidelity, and lookback accuracy to flag classification performance.
- Define and Evaluate Health Flags: Partner with Product and CS leaders to spec logic, validate signals, and measure the real-world efficacy of risk and expansion alerts in production.
- QA Data Products: Validate outputs, establish requirements, and document limitations across core scoring tools, churn/expansion models, and predictive models.
- Drive Segment and Portfolio Reviews: Build analytical infrastructure to surface cohort trends, rate-of-change metrics, and book anomalies for leadership decision-making.
- Power Product Intelligence Loops: Maintain underlying data models connecting customer value achievement directly to incoming product feedback requests.
- Manage End-to-End Data Operations: Query and clean multi-source data across Snowflake, Salesforce, and Gong while partnering with Data Ops to resolve core data quality issues.

**What You Bring**

- 3+ years of experience in SaaS CS analytics, revenue analytics, or business intelligence, including strong foundational knowledge of post-sales metrics like GRR, NRR, churn, expansion, and health scores.
- Bachelor’s degree in Data Analytics, Business, Statistics, Computer Science, or equivalent practical experience.
- Advanced SQL Proficiency: Demonstrated ability to write, debug, and optimize complex queries independently across messy, unrefined datasets.
- Hands-on BI & Reporting Expertise: Proven track record building executive-ready dashboards in Tableau, Coefficient, or similar enterprise reporting environments.
- Data QA & Modeling Exposure: Experience evaluating, validating, and documenting predictive models or scoring outputs within an operational business context.
- Modern Tech Stack Familiarity: Working knowledge of cloud data environments like Snowflake or Databricks.
- Investigation & Communication Skills: Proven ability to investigate data anomalies independently, synthesize complex metrics into actionable insights, and navigate evolving frameworks with structured execution.
- AI Workflow Integration: Ability to leverage modern AI tools for data exploration, rapid synthesis, and process automation.

**Strong-Fit Background Might Include**

- Prior experience within Procore systems or post-sales GTM operations.
- Experience in post-sales revenue operations within enterprise SaaS or B2B platforms.
- Background partnering directly with GTM operations and data engineering teams to ship GTM reporting models.

## **Additional Information**

**Base Pay Range:**

129,600.00 - 178,200.00 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.