Data Operations Analyst

Role Overview

The Data Operations Analyst owns lead and account data quality for a hotel-focused sales organization. The role combines technical depth with business judgment.

What You Will Do

Make sure leads and accounts entering the pipeline from all source systems are accurate and deduplicated before they reach sales reps. Own the health of hotel account data in the CRM: clean up duplicate or broken records and keep account structures sound as they interact with other parts of the business.

Why It Might Be a Fit

The role requires strong data-quality instincts, experience designing or refining lead qualification criteria and SLAs, and experience sourcing or evaluating third-party data vendors and enrichment tools.

Requirements

• 5-6+ years of experience in data operations or go-to-market (GTM) engineering
• Hands-on experience with Salesforce or a comparable CRM, including account structuring, deduplication, field mapping, and data cleanup
• Strong data-quality instincts: you can navigate complex, imperfect data structures, find and fix inconsistencies, and connect business use cases back to data pipelines
• Experience designing or refining lead qualification criteria and SLAs
• Demonstrated experience sourcing or evaluating third-party data vendors and enrichment tools
• Strong SQL skills for validating data, investigating anomalies, and pulling ad hoc analysis
• Strong Excel/Google Sheets skills
• Experience using AI tools (for example, Claude Code) to build lightweight internal processes
• Clear, proactive communication, with comfort partnering directly with sales reps and sales leadership on escalations
• A process-oriented mindset

Benefits

• Pay rate range: $60-$75/hour