Supply Tech - Data Ops Analyst

Our client, a leading company in the travel and hospitality technology industry, is looking to hire a Supply Tech – Data Operations Analyst for a 12-month contract opportunity in Remote.

Pay Rate Range

$61/hour to $71/hour on W-2, depending on experience.

Responsibilities

• Own lead and account data quality across sourcing, deduplication, enrichment, qualification, and routing.
• Maintain and improve Salesforce CRM data integrity, including account structures, data mapping, and record cleanup.
• Identify and resolve duplicate, incomplete, inaccurate, or misrouted lead and account records.
• Use SQL to validate datasets, investigate anomalies, reconcile information, and troubleshoot data-quality issues.
• Perform data audits and validation using Excel and Google Sheets.
• Establish and refine lead qualification criteria, routing rules, and operational SLAs.
• Partner with Sales, GTM, and Acquisition teams to resolve data-related escalations.
• Identify root causes of recurring data issues and implement scalable process improvements.
• Evaluate third-party data sources and enrichment tools to improve lead and account data quality.
• Explore AI tools to streamline data QA, enrichment, anomaly detection, and workflow automation.

Requirements

• 5–6+ years of experience in Data Operations, GTM Operations, CRM Operations, Sales Operations, or a related field.
• Hands-on experience with Salesforce or comparable CRM platforms, preferably Salesforce.
• Intermediate SQL skills, including querying, joins, data validation, and anomaly investigation.
• Strong proficiency in Microsoft Excel and Google Sheets.
• Experience with CRM data management, data quality, deduplication, and data reconciliation.
• Understanding of lead management, qualification, enrichment, and routing processes.
• Experience working with multiple data sources and investigating data discrepancies.
• Strong analytical, problem-solving, and root-cause analysis skills.
• Ability to partner directly with Sales/GTM stakeholders and improve operational workflows.
• Python, AI-assisted automation, and third-party data enrichment experience are a plus.