Revenue Analytics and Insights Manager

EverCommerce

Revenue Analytics Manager at EverHealth focusing on analytics capabilities for customer insights. Driving data analysis to enhance revenue retention and informed decision-making in a B2B SaaS environment.

Posted 7/28/2026full-timeRemote • Colorado • 🇺🇸 United StatesMid-LevelSenior💰 $96,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Customer Health Scorecard management, leveraging analytics to drive customer retention and expansion. Proficient in utilizing AI tools and CRM platforms to enhance operational metrics and deliver strategic insights across cross-functional teams.

Highest-signal resume keywords

Customer Health Model DevelopmentChurn FrameworksAI Tools UtilizationCRM Platforms (Salesforce)Cohort Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsBusiness IntelligenceRetention AnalyticsChurn ModelingData ModelingForecasting AccuracyNPS ImprovementCohort ModelingLTV AnalysisCapacity Planning

Soft Skills

Project ManagementCommunicationProactive Problem SolvingSystems ThinkingMentoring

Tools & Technologies

SalesforceTableauLookerMetabaseGainsightChurnZeroTotangoGong IntelligenceHubSpot AILLM APIs

Industry Keywords

B2B SaaSHealth-TechRevOpsCustomer SuccessGTM Analytics

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Own the Customer Health Scorecard — design, maintain, and continuously refine leading indicators across the customer lifecycle (onboarding, adoption, nurture, renewal, expansion and support)
Enable faster, higher-confidence decision-making across CX and cross-functional teams
Define and maintain CX metric definitions (Onboarding, Customer Success, and Customer Support) in collaboration with CX Leadership, Finance and broader RevOps team to ensure a single source of truth
Build and operate churn signal models that surface at-risk accounts ahead of renewal conversations
Surface expansion signals and collaborate with the CX and AM teams to translate data into pipeline opportunities
Proactively identify opportunities to improve efficiency, retention, and customer experience
Translate VoC insights into prioritized recommendations for CX and Product, tied to revenue outcomes
Develop and maintain post-sale performance reporting (onboarding completion, time-to-value, SLA compliance, CS coverage ratios, Expansion and product penetration ratios)
Partner with CS, AM, and Onboarding leads as a strategic thought partner — attending key team meetings, proactively flagging risk, and bringing forward insights before they are requested
Partner with Support teams to optimize workflows, routing, and AI/chat performance
Identify, evaluate, and implement AI and machine learning tools that accelerate analytics output — from automated CRM data enrichment and deduplication to AI-assisted churn scoring and propensity modeling
Leverage large language models (LLMs) and AI-assisted workflows to automate recurring reporting tasks, freeing bandwidth for higher-order analysis and strategic insight work
Own and maintain EverHealth's ICP framework — analyzing closed-won, closed-lost, and customer health data to continuously refine the ideal customer profile
Lead structured Win/Loss analysis: design the methodology, run interviews or data pulls, synthesize findings, and distribute insights to Sales and Product leadership
Maintain cohort analysis across the customer base — tracking performance by segment, product line, and acquisition channel
Support territory and capacity planning with data modeling in partnership with the VP of RevOps and Finance
Contribute to the GTM metric catalog — ensuring definitions are documented, agreed upon, and consistently applied across all reporting
Manage and develop one direct report (Pre-Sale Analytics Analyst) — setting goals, providing coaching, reviewing work, and building their analytical skills
Stay current on the AI analytics landscape and bring forward a quarterly point of view on emerging tools and practices relevant to RevOps and CX

Requirements

What you’ll need

5+ years in analytics, business intelligence, or revenue/customer analytics — ideally in a B2B SaaS or health-tech environment
Demonstrated experience building customer health models, churn frameworks, or retention analytics in a post-sale context
Demonstrated impact improving operational metrics, time to value, NPS, forecasting accuracy, and VoC programs.
Demonstrated experience using AI tools in a professional analytics context.
Experience with CRM platforms (Salesforce preferred) and BI tools (e.g., Tableau, Looker, Metabase, or similar)
Proven ability to translate ambiguous business questions into structured analytical approaches
Comfortable presenting to senior leaders — communicates findings with a point of view, not just data
Proactive, opinionated, and focused on driving measurable outcomes
Strong systems thinking approach with ability to connect disparate processes and tools
Excellent project management skills with attention to detail
1+ year of people management or mentoring experience
Experience in a RevOps or GTM analytics function with cross-functional scope (Sales, Marketing, CX) (preferred)
Familiarity with customer success platforms (e.g., Gainsight, ChurnZero, Totango) (preferred)
Experience with cohort modeling, LTV analysis, or capacity planning (preferred)
Healthcare or health-tech industry background a plus (preferred)
Experience with LLM APIs (OpenAI, Anthropic, etc.) or AI-assisted analytics tools (e.g., Gong Intelligence, HubSpot AI, Clay, or similar) in a RevOps or CX context (preferred)

Benefits

Comp & perks

Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid
Continued investment in your professional development
Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend.
401k with up to a 4% match and immediate vesting
Flexible and generous (FTO) time-off
Employee Stock Purchase Program