JFrog Data Operations Analyst 

India, Karnataka, Bengaluru 

6174467

As a Data Operations Analyst at JFrog you will...

Data Entry and Maintenance:

• Oversee data entry processes and ensure accurate and timely updates in the CRM Account records that are related to JFrog Marketing, Sales and Finance.
• 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• Regularly review and clean duplicates, perform merge actions, delete and update outdated or irrelevant data in the CRM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 queue of Data change request and Meet SLA guidelines

Data Quality Management:

• 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 and recommend corrective actions of Business processes
• Track & monitor data integrity for newly launched Sales and Marketing Business Processes in the CRM

To be Data Operations Analyst at JFrog you need...

• 3+ years of experience in data management role, preferably in a B2B Enterprise companies
• Familiarity with data governance principles and data quality frameworks and tools such as ZoomInfo, LinkedIn Sales Navigator , etc.
• Detail-oriented mindset with excellent organizational and time management skills
• Proficiency in Salesforce CRM , including data entry, reporting, and user administration
• Ability to work effectively in a team environment, collaborating with cross-functional teams and stakeholders
• Excellent analytical and problem-solving skills with a keen attention to detail
• Excellent communication and interpersonal skills to effectively interact with internal stakeholders
• Proactive approach to identifying areas for improvement and implementing innovative solutions
• Excellent written and verbal English

Advantageous Expertise

• Familiarity with Data Enrichment Tools
• Familiarity in Sales and Marketing processes
• Familiarity with SQL for querying, analyzing, and manipulating data within relational databases