Revenue Operations Analyst

Data Hygiene, Automation & AI 

• Own and lead data hygiene programs across all GTM systems, including duplicate removal, legacy account cleanup, and account validation. 

• Administer and optimize data quality tools (RingLead or similar) to improve deduplication and automation at scale. 

• Apply AI-driven tools and workflows to accelerate account validation, data enrichment, and data quality processes that would otherwise require manual effort. 

• Establish and enforce governance standards for critical account data fields (billing address, business status, brand associations, territory fields). 

Territory Intelligence & Account Operations 

• Support and refine TAM/SAM models using data enrichment and intelligence tools. 

• Own territory data accuracy, including out-of-territory reporting, account alignment, and quarterly territory hygiene reviews. 

• Manage account ownership moves related to AE terminations, territory changes, and org restructures per SOPs and SLAs. 

• Maintain the Week In/Week Out review cadence for account status, holdovers, growth moves, and inactive user accounts. 

• Own National Brand record management in Salesforce, ensuring accurate franchise/corporate record types, brand flags, and account-to-brand associations. 

Data Integration & Tool Management 

• Ensure GTM data tools (Salesforce, Fullcast, ZoomInfo, Datalane, Datassential, RingLead) are properly integrated, synced, and optimized. 

• Serve as a subject-matter expert for data operations tooling, providing input on integration requirements and evaluating emerging tools. 

Reporting & Cross-Functional Collaboration 

• Build and maintain Salesforce reports, dashboards, and data quality monitors that support territory operations and leadership visibility. 

• Document processes, SOPs, and program workflows for repeatable execution and knowledge transfer. 

• Mentor and guide junior data quality specialists on tooling, best practices, and execution standards. 

• Provide regular program-level updates on data quality metrics, cleanup progress, and initiative milestones.