Senior Sales Data Analytics Lead

Vertiv Co; Mandaluyong; Presencial; PHP 600.000 - 900.000; Jornada completa

Descripción de la vacante

Vertiv is seeking a Data Analyst to collect and cleanse data from multiple systems, transform it, and design dashboards that provide a unified view of business data. You will analyze patterns, generate insights, and present results to stakeholders.

The role requires 3–5 years of experience, strong SQL and Power BI skills, and familiarity with automation tools or Python. Collaboration with IT and business teams is essential to drive data-driven decisions.

Formación

• Bachelor’s degree in Data Science, IT, CS or related field.
• 3–5 years of data analyst experience in multinational environment.
• High proficiency in SQL and Power BI or similar analytics tools.
• Experience with automation tools or programming languages (Sigma, Power Automate, Python).
• Strong process orientation and attention to detail.

Responsabilidades

• Collect and cleanse data from multiple sources and transform it to required formats.
• Design, develop, and deploy dashboards and reports per stakeholder specs.
• Generate insights and answers to key business questions from datasets.
• Create documentation and presentations to communicate results and recommendations.
• Collaborate with project and IT teams to access relevant data sources.
• Lead continuous improvement initiatives for analytics standards and practices.

Conocimientos

SQL

Power BI

Data analysis

Python

Automation tools

Educación

Bachelor's degree in Data Science/Information Technology/Computer Science

Herramientas

Sigma

Power Automate

Python

Descripción del empleo

Vertiv is seeking a Data Analyst to collect and cleanse data from multiple systems, transform it, and design dashboards that provide a unified view of business data. You will analyze patterns, generate insights, and present results to stakeholders.

The role requires 3–5 years of experience, strong SQL and Power BI skills, and familiarity with automation tools or Python. Collaboration with IT and business teams is essential to drive data-driven decisions.