Global Operations Analytics Leader

Hewlett Packard Enterprise; Tlaquepaque; Presencial; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Hewlett Packard Enterprise seeks a Global Operations and Business Analyst to transform multi-source data into actionable insights, building scalable data frameworks and dashboards for executive decision-making.

The role partners with Returns Operations, Finance, Category, and IT/Data Engineering to standardize metrics, ensure data integrity, and elevate analytics maturity across the organization.

Formación

• Bachelor’s degree in business, Finance, Engineering, Data Science, or related field.
• 8–12+ years of experience in business analytics, data analytics, or operations strategy roles.
• Experience in complex, cross-functional environments with global scope.
• Strong expertise in data visualization tools (Power BI, Tableau) and data modeling.

Responsabilidades

• Define and implement enterprise-wide data standards, KPIs, and reporting frameworks across functions.
• Translate datasets into clear visualizations to support decision-making at all levels.
• Convert data insights into actionable recommendations and drive accountability.
• Collaborate with Returns Ops, Finance, Category, and IT/Data Engineering to ensure data quality and governance.
• Prepare and deliver high-impact presentations for senior leadership and executive forums.

Conocimientos

Power BI

Tableau

SQL

Data modeling

Data storytelling

Governance

Cross-Functional Influence

Problem Solving

Execution Focus

Data accuracy

Educación

Bachelor’s degree in business/Finance/Engineering/Data Science

Herramientas

Power BI

Tableau

SQL

Descripción del empleo

Hewlett Packard Enterprise seeks a Global Operations and Business Analyst to transform multi-source data into actionable insights, building scalable data frameworks and dashboards for executive decision-making.

The role partners with Returns Operations, Finance, Category, and IT/Data Engineering to standardize metrics, ensure data integrity, and elevate analytics maturity across the organization.