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 InformationBase 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.
