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As JFrog is growing as a company and the volume of our customer data and interactions increases, managing this growing dataset becomes more complex and requires dedicated teams to ensure data accuracy, completeness, and relevance. Our Revops group is committed to enhancing overall operational efficiency and the right infrastructure to support the Growth strategy. A key factor to achieve it is by keeping our CRM customer data accurate and up-to-date. The JFrog RevOps team is looking for a driven and talented Data Quality Analyst for maintaining the integrity, quality and consistency of our data within the CRM system
Job Responsibility:
Oversee data entry processes and ensure accurate and timely updates in the CRM
Maintain and optimize account hierarchies, including M&A updates, brand structures, and segmentation fields
Maintain accurate business segmentation data elements from different sources
Utilize data enrichment tools and services to validate Account records
Regularly review and clean duplicates, perform merge actions, delete and update outdated or irrelevant data in the CRM
Manage and prioritize data change requests while meeting SLA targets
Conduct data audits cadence and identify inaccuracies or inconsistencies
Collaborate with operational teams (Marketing, RevOps, Finance and IS) to ensure data accuracy and identify areas that are not aligned with the data governance and Policies
Conduct root cause analysis for data quality issues andTrack & monitor data integrity for newly launched Sales and Marketing Business Processes in the CRM
Monitor data quality for new business processes and ensure clean adoption in the CRM
Support sourcing and prospecting efforts by ensuring high-quality, accurate, and enriched account and lead data in the CRM
Requirements:
3+ years of experience in data operations or data quality roles in B2B environments
Strong experience with Salesforce Sales Cloud (data model, objects, reporting)
Excellent analytical and problem-solving skills with a keen attention to detail
Proven ability to manage and improve CRM data quality processes
Ability to design and optimize prompts or AI-driven workflows for automating repetitive CRM tasks
Familiarity with building lightweight automations, agents, or internal tools using AI platforms
Detail-oriented mindset with excellent organizational and time management skills
Ability to work cross-functionally with business and technical stakeholders