GTM Data Quality Analyst

Overview

Own the quality of CRM and GTM systems data, working the day-to-day requests from GTM and Finance teams, writing runbooks for them, and building a Data Quality Agent that handles routine requests and routes risky ones to humans for approval.

What you'll do

• Own the tier-1 data queue for internal GTM systems data support: account ownership changes, account creation, merges, parent-child hierarchies, lead conversion, and linking billing subscriptions to the right Salesforce account.
• Resolve requests within the team's response standard and leave a record any teammate can pick up.
• Write and maintain a runbook for every recurring request type: the trigger, the checks, the steps, the edge cases, and when to escalate.
• Design, build and run the Data Quality Agent with CodeRabbit's coding agent and engineering harness, starting in shadow mode and earning its autonomy one workflow type at a time.
• Define the agent's approval tiers: what it can fix on its own, what it proposes for human approval, and what it always escalates.
• Run duplicate detection and merge cohorts across accounts, contacts and leads, and keep account hierarchies accurate as customers grow, merge and reorganize.
• Close enrichment gaps (firmographics, domains, HQ location, parent company) using enrichment tools and the data warehouse.
• Track the request queue and data health with clear metrics: volume by request type, time to resolve, agent accuracy, and how often humans override the agent.
• Find the root cause behind repeat requests and bring proposals to the engineers so the fix lands upstream.

What you'll need

• 3+ years in CRM data operations, sales operations, RevOps or data quality at a B2B SaaS company.
• Hands-on Salesforce experience: the Account, Contact, Lead, Opportunity data model, ownership and sharing basics, reports, and bulk data tools.
• Strong SQL, able to answer your own questions from the warehouse without waiting on an analyst.
• Experience using AI tools such as Claude or ChatGPT to automate real work, and the ability to show something you built: a prompt chain, a script, an agent, or an automation that saved hours.
• Ability to write clear, step-by-step documentation that someone else can follow without asking questions.
• Careful judgment with production data, knowing which changes are easy to undo and which are not, and treating them differently.
• Comfortable working across time zones with stakeholders in the US and Europe.

Nice to have

• Experience with dedupe and merge tools such as Traction Complete, DemandTools, Cloudingo or Salesforce duplicate rules.
• Python or JavaScript scripting, Git, and comfort working in a code repository.
• Experience with enrichment and prospecting data tools such as Clay, ZoomInfo or LinkedIn Sales Navigator.
• Exposure to billing systems such as Chargebee, and how subscriptions can map to CRM data.
• Experience with BigQuery, dbt or another cloud data warehouse.
• Experience designing human-in-the-loop workflows: approval steps, confidence thresholds, audit logs and evaluations.
• Familiarity with developer-tools or technical B2B SaaS go-to-market (GTM).

Details

• Location: Bengaluru.
• Works across time zones with stakeholders in the US and Europe.