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Supply Tech - Data Ops Analyst

Russell, Tobin & AssociatesSan Francisco, CA🇺🇸United States

Quick overview

Salary$61 - $71/hr
SeniorityMid Senior
Work modeHybrid
LocationSan Francisco, CA, United States
SourcingSQLMicrosoft ExcelGoogle WorkspaceCRMPythonReconciliationSales OperationsSalesforce

Job description

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.

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