Pavago
Vertiv
Senior Operational Data Analyst
PythonSQL
Automatic translation. Check the original.
Responsibilities
- Collect, clean, and validate operational data from various sources (ERP, CRM, logistics systems, etc.).
- Develop and maintain dashboards and reports to monitor KPIs, SLAs, and operational performance.
- Identify trends, anomalies, and opportunities for process improvement through data analysis.
- Collaborate with Order Operations managers and other stakeholders to define data needs and reporting requirements.
- Support forecasting, capacity planning, and resource allocation through data-driven insights.
- Ensure data governance and compliance with internal and external standards.
- Automate recurring reports and optimize data workflows using tools like Excel, Power BI, SQL, or Python.
- Assist in the implementation of new systems or tools related to data management and operations.
- Possess experience in Order Management, logistics, or manufacturing operations.
- Knowledge of Lean and/or Six Sigma methodologies.
- Familiarity with automation tools, such as Alteryx and Power Automate.
Qualifications
Minimum Requirements
- Bachelor's degree or equivalent experience in a related field.
- 4 to 8 years of proven professional experience.
- Advanced English required.
Education and Certifications
- Bachelor's degree in Business Administration, Data Analysis, or a related field.
- Proficiency in data tools such as advanced Excel, Power BI, Tableau, SQL, or Python.
- Experience in order management, logistics, or manufacturing operations.
- Knowledge of Lean and/or Six Sigma methodologies.
- Familiarity with automation tools (like Alteryx and Power Automate).
- Spanish is considered a plus.
- Experience in data analysis, preferably in operational or supply chain environments.
- Experience with ERP systems (like SAP or Oracle) will be considered a plus.
