Data Integrity & Governance Analyst

Entergy Corporation

New Orleans (LA)

Presencial

USD 60.000 - 90.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Entergy is seeking a Data Integrity Analyst to act as a data steward for critical business data within the AMI Operations Center. The role collaborates with IT and enterprise data governance to ensure data accuracy, completeness, and reliability for reports, dashboards, and regulatory needs.

The selected candidate will participate in data governance, master data management, metadata management, data modeling and data security practices, while supporting day-to-day AMI data transfers and issue

Formación

  • Bachelor’s degree in a technical or business field required or equivalent work experience.
  • Master’s degree desired; CS/CE/MIS preferred.
  • Experience in data governance, master data management, metadata management, data quality and data modeling preferred.

Responsabilidades

  • Establish and follow data governance/stewardship practices across MDM, metadata, data quality and data architecture.
  • Identify and define mappings for critical enterprise data within Entergy.
  • Monitor data quality and perform profiling, cleansing and reconciliations.
  • Lead data migration and data integration activities.
  • Support data security/privacy practices with Entergy’s security team.
  • Collaborate with Enterprise Architecture and application data architects.

Conocimientos

SQL queries
Power BI
Excel
Microsoft Office
Data analysis

Educación

Bachelor’s degree in technical or business field
Master’s degree preferred

Herramientas

Informatica

Descripción del empleo

Entergy is seeking a Data Integrity Analyst to act as a data steward for critical business data within the AMI Operations Center. The role collaborates with IT and enterprise data governance to ensure data accuracy, completeness, and reliability for reports, dashboards, and regulatory needs.

The selected candidate will participate in data governance, master data management, metadata management, data modeling and data security practices, while supporting day-to-day AMI data transfers and issue

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