Hybrid HR Data Analyst — Analytics & Data Governance

Hewlett Packard Enterprise; Región Centro; Híbrido; MXN 800.000 - 1.000.000; Jornada completa

Descripción de la vacante

Hewlett Packard Enterprise seeks a Specialist in HR Data Analytics to support the HR Data Lake expansion, extract data insights, and partner with HR and IT to align data requirements. You will analyze data flows, ensure data quality, and help deliver self-service reporting across HR domains.

This role involves collaboration with stakeholders, data governance, and process improvements in a hybrid setup with on-site days in Mexico. A strong background in HR tech and data analytics is required.

Formación

• Experience in HR technology and data analytics.
• Ability to translate business needs into data-driven solutions.
• Experience with cross-functional teams and HR systems.

Responsabilidades

• Support the HR Data Lake expansion including discovery, mapping, validation, and governance.
• Partner with HR stakeholders and IT to define data requirements.
• Analyze data flows and ensure accurate transformation to enterprise platforms.
• Support data quality, reconciliation, and issue resolution across HR domains.
• Contribute to self-service reporting and analytics solutions.
• Lead cross-functional projects involving HR technology and data management.

Conocimientos

HR data analysis

Data mapping

Data governance

Stakeholder engagement

Analytical thinking

Educación

Bachelor's degree in Business, Information Systems, or related field

Herramientas

Workday

SQL

Excel

Descripción del empleo

Hewlett Packard Enterprise seeks a Specialist in HR Data Analytics to support the HR Data Lake expansion, extract data insights, and partner with HR and IT to align data requirements. You will analyze data flows, ensure data quality, and help deliver self-service reporting across HR domains.

This role involves collaboration with stakeholders, data governance, and process improvements in a hybrid setup with on-site days in Mexico. A strong background in HR tech and data analytics is required.