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 have 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.

• 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.

• 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.

• 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…