Experian
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
10001 employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Data Management Analyst
Job not on LinkedIn
2 days ago
Experian
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
10001 employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
📋 Description
• Monitor and evaluate AWS-hosted data assets to ensure quality, consistency, and completeness across platforms • Develop and automate data quality checks, validation routines, and anomaly detection processes using AWS Glue, Lambda, and SQL • Build interactive dashboards and reports in Amazon QuickSight to surface important data quality metrics and operational insights • Perform exploratory data analysis and data profiling to identify patterns, inconsistencies, and causes of data issues • Partner with data engineering, compliance, and product teams to support governance processes and assist with remediation activities • Document monitoring procedures, automation scripts, and validation results for audit and traceability purposes • Participate in optimizing data workflows and identifying opportunities for automation within AWS-based pipelines (e.g., S3, Glue Jobs, Step Functions) • Contribute to the enhancement of data quality frameworks, documentation, and Service level agreement monitoring processes
🎯 Requirements
• 1–3 years of experience in data analysis, data quality, or data operations • Proficiency with AWS services such as S3, Glue, Athena, Redshift, and QuickSight • Solid SQL skills for querying, validation, and data profiling • Working knowledge of Python for automation and scripting • Understanding of data governance and data quality principles • Experience working with large datasets and cloud-based data architectures
🏖️ Benefits
• Our uniqueness is that we celebrate yours • DEI focus • Work/life balance • Development opportunities • Collaboration • Wellness programs • Reward & recognition
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