Data Operations Analyst
Head Office
Permanent
Full time
To conduct a detail-oriented and analytical Operations Data to support business operations by collecting, analyzing, and interpreting data to drive efficiency and decision-making. The ideal candidate will work closely with cross-functional teams to optimize processes, improve key performance indicators (KPIs), and enhance overall operational effectiveness.
Responsibilities
- Gather and analyze operational data from multiple sources (Linde Connect, Telematics, ERP) to identify trends, inefficiencies, and areas for improvement.
- Develop dashboards, reports, and presentations to communicate complex data insights to stakeholders.
- Identify bottlenecks in operations and recommend data-driven solutions to improve efficiency.
- Monitor key metrics such as uptime, operations cost (maintenance & tires and other operations cost), and service levels to ensure performance targets are met.
- Use statistical techniques and predictive modeling to anticipate trends and operational needs.
- Implement automation tools and improve data management processes for efficiency.
- Work with teams across operations, finance, and IT to ensure data integrity and alignment with business goals.
- Perform ad-hoc analysis and respond to urgent business questions and requests.
Requirements
- Bachelor’s degree in business, Statistics, Data Science, Economics, Supply Chain, or a related field.
- 2+ years in operations, logistics, supply chain, or business analysis.
- Experience with ERP and CRM systems.
- Familiarity with machine learning or AI-based analytics is a plus.
- Proficiency in SQL, Python, Excel, and BI tools (Power BI, Tableau, Looker, etc.).
- Experience in data analysis, operations, or supply chain management is a plus.
- Strong problem-solving skills and ability to interpret complex datasets.
- Excellent communication and presentation skills.
- Ability to work with large datasets and draw meaningful insights.
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