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Data Management Analyst

Experian · Heredia

Junior 🇬🇧 English
AWS Glue SQL Python

Job description

About the role

Join Experian’s Data Consumer Assurance team to monitor, validate, and assure the quality of AWS‑based data assets. You will work in a cloud‑native environment, ensuring data meets standards for quality, completeness, and compliance.

Key responsibilities

  • Monitor and evaluate AWS‑hosted data assets for quality, consistency, and completeness.
  • Develop and automate data quality checks, validation routines, and anomaly detection using AWS Glue, Lambda, and SQL.
  • Create interactive dashboards and reports in Amazon QuickSight to surface data quality metrics.
  • Perform exploratory data analysis and profiling to identify patterns and data issues.
  • Collaborate with data engineering, compliance, and product teams to support governance and remediation.
  • Document monitoring procedures, automation scripts, and validation results for audit purposes.
  • Help optimise data workflows and identify automation opportunities in AWS pipelines (S3, Glue Jobs, Step Functions).
  • Contribute to the enhancement of data quality frameworks and SLA monitoring processes.

Required profile

  • 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.
  • Strong SQL skills for querying, validation, and profiling.
  • Working knowledge of Python for automation and scripting.
  • Understanding of data governance and data quality principles.
  • Experience handling large datasets in cloud‑based architectures.

Required skills

  • AWS S3
  • AWS Glue
  • AWS Athena
  • AWS Redshift
  • AWS QuickSight
  • SQL
  • Python

What we offer

  • Medical, life and dental insurance
  • Access to Experian’s global learning and development resources
  • Opportunities to work with cutting‑edge data technologies

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Published 3 months ago

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