The Data Operations Analyst supports Client's data monetization efforts by building, validating, and distributing a high volume of audiencesegments using LiveRamp Connect and Jira. The role focuses on accurate execution of predefined segment logic, platform delivery, andinternal workflow tracking—serving as the execution engine for segment throughput. Job Description: Key ResponsibilitiesBuild 125 audience segments per week in LiveRamp Connect based on manager-provided definitions. Apply naming conventions, pricing tiers, and destination metadata consistently. Conduct QA on 10% of segments weekly, validating audience size, metadata accuracy, and naming consistency.
Publish segments to the LiveRamp Data Marketplace and distribute them to both internal and external destinations. Track delivery statuses and metadata in Jira; update tickets with LiveRamp Segment IDs and QA completion. Maintain entries in the Segment Distribution Tracker and QA log (Excel or Office365 templates). Communicate via Slack and attend weekly check-ins during local business hours. Tools & PlatformsSegment Build: LiveRamp Connect, AWS Athena/SQL (basic usage)Workflow Management: Jira, ConfluenceCommunication: SlackDocumentation: Office365 (Excel, Word)Certifications (Preferred Or Required Within 90 Days)LiveRamp RampCampBasic SQL proficiencyJira user-level training (provided by Cybba if needed)Key Performance IndicatorsMonthly Output: 500 segmentsQA Pass Rate:
≥ 95%Ticket Hygiene: 100% of Jira tickets updated weeklyDistribution Completion: 100% of approved segments pushed to destinationsCommunication SLA: Slack responses within 1 local business dayIdeal Candidate Profile2–4 years of experience in data operations, analytics, or audience segmentationStrong attention to detail and task executionComfortable working in Jira-based workflowsFamiliar with segment creation, tagging, or media delivery workflowsLocation: ChennaiBrand: ParagonTime Type: Full timeContract Type: Permanent
Customize your resume to highlight skills and experiences relevant to this specific position.
Learn about the company's mission, values, products, and recent news before your interview.
Ensure your LinkedIn profile is complete, professional, and matches your resume information.
Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.