Cprime - Salesforce Operations & Data Quality Specialist

Chennai1mo ago

In Office Junior APAC Software Data Analyst Regulatory Affairs Specialist Salesforce Data Quality Reporting Executive Support Documentation

Requirements

• 1+ years of experience in Salesforce Operations, Sales Operations, Revenue Operations, Data Quality, Business Operations, or a related field. • Experience working with Salesforce data management, reporting, and record maintenance. • Strong analytical and problem-solving skills. • Excellent attention to detail and organizational skills. • Strong written and verbal communication skills. • Track record of building executive-level relationships and influencing multiple stakeholders across business and technology organizations • Excellent presentation, communication, and executive facilitation skills. • Experience supporting SaaS, licensing, subscription, or renewal operations. • Familiarity with Atlassian products and licensing environments. • Salesforce Administrator certification or equivalent experience. • What We Believe In • At Cprime we believe in facilitating social justice action internally, in industry, and within our communities. We believe part of our mission is to expand the minds, hearts, and opportunities of our Cprime teammates and within the broader community to include those who have been historically marginalized. • Equal Employment Opportunity Statement

Responsibilities

• Monitor Salesforce error queues and exception-tracking objects. • Review and triage data-related issues impacting renewals and licensing processes. • Perform manual data corrections to ensure record accuracy and completeness. • Identify and remediate duplicate, missing, incomplete, and mismatched renewal records. • Maintain account alias mappings for customer-name variations and account matching. • Manage customer and billing-profile cleanup efforts across all Cprime accounts within Atlassian PPC. • Escalate confirmed system defects and complex issues to the Licensing Technical team with clear documentation. • Report on recurring issues, data cleanup progress, trends, and operational metrics. • Recommend process improvements that increase data accuracy and reduce manual effort.