Vertiv

Senior Operational Data Analyst

PythonSQL
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Responsibilities

  1. Collect, clean, and validate operational data from various sources (ERP, CRM, logistics systems, etc.).
  1. Develop and maintain dashboards and reports to monitor KPIs, SLAs, and operational performance.
  1. Identify trends, anomalies, and opportunities for process improvement through data analysis.
  1. Collaborate with Order Operations managers and other stakeholders to define data needs and reporting requirements.
  1. Support forecasting, capacity planning, and resource allocation through data-driven insights.
  1. Ensure data governance and compliance with internal and external standards.
  1. Automate recurring reports and optimize data workflows using tools like Excel, Power BI, SQL, or Python.
  1. Assist in the implementation of new systems or tools related to data management and operations.
  1. Possess experience in Order Management, logistics, or manufacturing operations.
  1. Knowledge of Lean and/or Six Sigma methodologies.
  1. Familiarity with automation tools, such as Alteryx and Power Automate.

Qualifications

Minimum Requirements

  1. Bachelor's degree or equivalent experience in a related field.
  1. 4 to 8 years of proven professional experience.
  1. Advanced English required.

Education and Certifications

  1. Bachelor's degree in Business Administration, Data Analysis, or a related field.
  1. Proficiency in data tools such as advanced Excel, Power BI, Tableau, SQL, or Python.
  1. Experience in order management, logistics, or manufacturing operations.
  1. Knowledge of Lean and/or Six Sigma methodologies.
  1. Familiarity with automation tools (like Alteryx and Power Automate).
  1. Spanish is considered a plus.
  1. Experience in data analysis, preferably in operational or supply chain environments.
  1. Experience with ERP systems (like SAP or Oracle) will be considered a plus.

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