Revenue Operations Analyst

Verse

. Run pipeline reviews, forecast calls, and weekly revenue reporting .

Posted 9/23/2026full-timeNew York City • New York • United StatesJuniorMid-Level💰 $115,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in revenue operations and sales analytics, with a strong focus on CRM management, GTM metrics, and data-driven decision-making. Proficient in SQL and Salesforce, with a bias for automation and AI-enabled workflows to enhance operational efficiency.

Highest-signal resume keywords

Revenue Operations ExperienceStrong SQL SkillsDeep Salesforce ExperienceGTM Metrics UnderstandingCross-Functional Partnership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLSalesforceGTM MetricsCRM ManagementData AnalysisReportingAutomationAI ToolingData Pipeline ManagementBusiness Intelligence

Soft Skills

Clear CommunicationDetail-OrientedAnalytical ThinkingComfort with AmbiguityCross-Functional Collaboration

Tools & Technologies

SalesforceGongBI ToolsData WarehouseLLM ToolingAPI IntegrationsAutomation ToolsCRM SystemsReporting ToolsData Quality Tools

Industry Keywords

HealthcareDMEHome HealthPost-Acute CareHCPCSPayer MixAuthorization Workflows

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Run pipeline reviews, forecast calls, and weekly revenue reporting
Monitor stage progression, conversion rates, sales cycle length, deal slippage, stale opportunities, close-date hygiene, and loss reasons
Partner with sales leadership and AEs to improve pipeline inspection, deal movement, and accountability
Own target account, territory, ownership, and routing logic
Model quotas, capacity, and compensation plans and produce accurate payment numbers
Own Salesforce's object model, fields, validation rules, flows, and permissions
Maintain CRM hygiene, lifecycle and stage accuracy, source attribution, account and contact quality, and data completeness
Design and roll out workflows that improve data quality and reduce manual cleanup
Build dashboards for funnel conversion, rep activity, meetings, pipeline, forecast, and source performance
Own the GTM stack, including Salesforce, Gong, the warehouse, and outbound tooling; write scripts and API integrations
Build internal AI tooling such as account briefs, deal-risk alerts, automated CRM updates, and Slack-native lookups
Use AI for data cleanup, enrichment QA, deduplication, first-pass analysis, documentation, and evaluation
Decide whether to buy a tool, write a script, or prompt a model
Document GTM processes and handoffs across marketing, SDR, sales, finance, and enablement
Translate cross-functional questions into actionable data and maintain consistent metric definitions
Support Finance with quota, capacity, commission exports, and board reporting; Marketing with attribution and source performance; Enablement with training data
Support analytics across marketing attribution, pipeline generation, conversion, customer health, and retention
Translate sales data into actionable insights
Support QBRs, pipeline reviews, board and leadership reporting, and ad hoc analysis
Build operating assets including pipeline review templates, deal inspection views, forecast notes, lead-to-qualified reports, rep follow-up trackers, and performance scorecards
Serve as the source of truth for cross-team metrics
Report to the Head of RevOps and collaborate with AEs, SDRs, Sales Managers, marketing, finance, enablement, clinical operations, product, and engineering

Requirements

What you’ll need

2+ years in revenue operations, sales operations, GTM operations, business operations, or analytics supporting a sales team
Strong understanding of GTM metrics, pipeline mechanics, forecast support, CRM hygiene, and sales process discipline
End-to-end ownership of a CRM, reporting layer, or GTM data pipeline
Comfort with ambiguity and no playbook
Strong SQL, including window functions and multi-CTE queries
Deep Salesforce experience with object model, flows, validation rules, reports, dashboards, and permissions
Hands-on production experience with LLM tooling, prompting, function calling or MCP, retrieval, and output evaluation
Experience with a BI tool and data warehouse
Analytical, detail-oriented, and practical approach
Clear communication with non-technical people and ability to respectfully challenge inaccurate numbers
Cross-functional partnership across sales, marketing, finance, and product
Bias for automation and AI-enabled workflows with sound judgment
Comfortable operating with urgency and ambiguity; low ego, high ownership
Healthcare, DME, home health, or post-acute experience is a bonus
Familiarity with HCPCS, payer mix, or authorization workflows is a bonus
Experience building and maintaining dependable agents or automations is a bonus
Familiarity with dbt, Gong's API, or coding GTM stack integrations is a bonus

Benefits

Comp & perks

Equity
Competitive benefits
Professional development opportunities
Work-life balance
Continuous improvement culture
Accessible interview accommodations