Senior Customer Success Outcomes Analyst

Procore

. Build executive dashboards, scorecards, and reporting infrastructure for CCO weekly cadences, QBRs, and customer health frameworks .

Posted 10/5/2026full-timeRemote • Texas • United StatesSenior💰 $129,600 - $178,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SaaS Customer Success analytics and revenue analytics, with a strong focus on building executive dashboards and reporting infrastructure. Proficient in SQL and experienced in leveraging cloud data environments to deliver actionable insights and validate predictive models.

Highest-signal resume keywords

Advanced SQL ProficiencySaaS Customer Success AnalyticsExecutive Dashboard DevelopmentData Quality InvestigationPredictive Model Validation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsBusiness IntelligenceChurn AnalysisExpansion MetricsHealth ScoresPredictive ModelingData CleaningData QueryingData SynthesisMetrics Analysis

Soft Skills

Analytical ThinkingProblem SolvingCollaborationCommunication

Tools & Technologies

TableauCoefficientSnowflakeDatabricksSalesforceGongProcore

Industry Keywords

SaaSB2BGTM OperationsRevenue OperationsCustomer Journey

Tech Stack

Tools & technologies

CloudSQLTableau

About the role

Key responsibilities & impact

Build executive dashboards, scorecards, and reporting infrastructure for CCO weekly cadences, QBRs, and customer health frameworks
Deliver reporting layers for segment trends, reason codes, usage fidelity, and lookback accuracy
Partner with Product and Customer Success leaders to define logic, validate signals, and measure risk and expansion alerts
Validate outputs, establish requirements, and document limitations across scoring tools, churn/expansion models, and predictive models
Build analytical infrastructure for cohort trends, rate-of-change metrics, and book anomalies
Maintain data models connecting customer value achievement to product feedback requests
Query and clean multi-source data across Snowflake, Salesforce, and Gong
Partner with Data Operations to resolve core data quality issues
Report to the Director of Customer Journey and Outcomes

Requirements

What you’ll need

3+ years of experience in SaaS CS analytics, revenue analytics, or business intelligence
Strong foundational knowledge of GRR, NRR, churn, expansion, and health scores
Bachelor’s degree in Data Analytics, Business, Statistics, Computer Science, or equivalent practical experience
Advanced SQL proficiency, including writing, debugging, and optimizing complex queries independently
Experience building executive-ready dashboards in Tableau, Coefficient, or similar enterprise reporting environments
Experience evaluating, validating, and documenting predictive models or scoring outputs
Working knowledge of cloud data environments such as Snowflake or Databricks
Ability to investigate data anomalies independently and synthesize complex metrics into actionable insights
Ability to leverage modern AI tools for data exploration, rapid synthesis, and process automation
Experience with Procore systems or post-sales GTM operations may be relevant
Experience in post-sales revenue operations within enterprise SaaS or B2B platforms may be relevant
Experience partnering with GTM operations and data engineering teams to ship GTM reporting models may be relevant

Benefits

Comp & perks

Equity Compensation eligibility
Bonus Incentive Compensation eligibility
Remote work within the US