Customer Success Outcomes Senior Analyst (Remote)

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…