Additionalinformation

Additional Information

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Companydescription

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Jobdescription

Job Description

The Data Operations Analyst II supports Commercial data operations with a focus on Amazon Web Services-based ingestion workflows, data onboarding, process monitoring, and operational quality. You will help ensure our Commercial data sources move through ingestion and sourcing processes with operational discipline. The analyst partners across business and technical teams to investigate issues, reduce time-to-file, improve workflow stability, and support reliable delivery into downstream data environments.

Main Responsibilities

• Support daily Commercial data operations across Amazon Web Services-based ingestion and sourcing workflows
• Monitor ingestion pipelines, recurring operational processes, and file movement activities to identify issues, delays, or failures
• Investigate data discrepancies, onboarding issues, operational defects, and quality exceptions, then coordinate resolution with technical partners
• Help onboard new incoming Commercial data sources and support efforts to reduce time-to-file
• Perform data validation and operational checks to help ensure completeness, accuracy, and readiness of ingested data
• Track workflow performance, recurring issues, and operational trends to support reporting and continuous improvement
• Maintain process documentation, operating procedures, and control points for ingestion and onboarding activities
• Partner with technical teams on required changes, defect resolution, and workflow stabilization efforts
• Contribute to root cause analysis and corrective actions for ingestion failures, process breakdowns, or recurring quality issues
• Support operational improvement efforts that simplify onboarding, strengthen control execution, and improve delivery consistency

You will report to: Data Development Director

Qualifications

• Bachelor's degree in business, information systems, analytics, data management, computer science, or a related field, or equivalent practical experience
• Experience in data operations, data analysis, production support, or a related operational environment
• Experience supporting data ingestion, onboarding, file processing, or workflow monitoring activities
• Experience working with large datasets and investigating data quality or process issues
• Proficiency with reporting, workflow tracking, or data analysis tools relevant to operational support
• Experience supporting Amazon Web Services-based data ingestion or cloud-based data operations workflows
• Experience with Commercial data onboarding, sourcing, or file delivery processes Working knowledge of SQL for data validation, issue investigation, and operational analysis
• Experience with process documentation, standard operating procedures, and control frameworks
• Familiarity with data governance, operational metrics, and continuous improvement practices
• Experience working in a regulated or high-accountability data environment.