Job Description

Navan is modernizing the infrastructure of business travel, expense, and spend management — and data is central to that mission. We are seeking a Senior Revenue Operations Analyst, Data Quality to own the integrity and trustworthiness of our go-to-market data, enabling Sales, Marketing, and Revenue Operations to move faster and smarter.

In this role, you’ll be responsible for identifying, measuring, and improving the quality of GTM data across systems, with a focus on solving problems at the point of data creation. You’ll also own the integration and management of third-party data sources into our CRM, ensuring consistency, accuracy, and usability across the GTM tech stack.

You’ll partner cross-functionally with system owners, data analysts, and operations teams to build scalable data quality practices that support revenue growth and operational excellence. This is a high-impact role for someone who thrives on getting into the details of complex data problems while building processes and tooling that scale.

What You’ll Do:

• Own all phases of GTM data quality projects from project planning through execution and completion
• Define and maintain data quality rules, standards, metrics, and processes, including ROI calculations
• Build Data Quality dashboards and other methods to measure and report on data quality
• Lead the integration and maintenance of 3rd party data sources into our CRM , ensuring proper mapping, deduplication, and usage across systems
• Work cross-functionally to identify and fix data quality issues using sustainable and best-practice tools and processes
• Maintain a backlog of data quality issues, priorities, and status
• Investigate root causes of recurring issues and implement long-term, scalable solutions
• Collaborate across multiple stakeholders and elevate critical issues and blockers to leadership when necessary
• Lead the central design and operationalization of GTM territories in partnership with Sales Strategy, ensuring scalable, data-driven segmentation across geographies, segments, and roles
• Maintain clear, centralized documentation of territory logic, segmentation rules, and account assignment workflows to ensure transparency and consistency
• Build tools and dashboards to monitor territory coverage, account distribution, and rep capacity, enabling leadership to make informed planning decisions

What we’re looking for:

• Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or equivalent
• 3+ years of Sales Strategy, Revenue Operations, and/or Marketing Operations
• 3+ years of experience managing 3rd party data vendors or providers
• Experience owning 3rd party data integrations into a CRM, including field mapping, deduplication logic, and system performance impact
• 5+ years of experience developing complex SQL, including multi-table joins and analytical functions
• 3+ years interfacing with Salesforce or similar CRM platforms
• 3+ years managing projects end-to-end, including task definition, work estimation, and status reporting
• Experience solving for data quality problems in Salesforce
• Demonstrated ability to work in fast-paced, often ambiguous environments with adaptability and focus

Preferred Qualifications:

• Advanced in SQL and other analytics tools Snowflake, BigQuery, Etc
• Experience with territory data management
• Experience working for a B2B SaaS or high-growth software company
• Prior exposure to 3rd party data strategy across a globally diverse user base
• Familiarity with ticketing systems like JIRA or ServiceNow

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.Pay Range $92,000—$145,000 USD