Data Analysis Specialist

3 days ago


Hong Kong Island, Hong Kong SAR China BRIDGE AI GAMING LIMITED Full time
Job Description

We are seeking an experienced Data Analysis Specialist to join our team at BRIDGE AI GAMING LIMITED. The ideal candidate will have a strong background in engineering analysis and data science, with excellent analytical skills and the ability to communicate complex technical information to non-technical stakeholders.

The successful candidate will be responsible for analyzing and evaluating engineering processes, systems, and designs to identify areas for improvement. They will use data-driven insights to support decision-making and optimize performance, ensuring the efficiency and reliability of engineering projects.

  1. Data Analysis and Reporting:
  • Collect, analyze, and interpret engineering data to identify trends, patterns, and areas for improvement.
  • Prepare detailed reports, dashboards, and presentations to communicate findings to stakeholders.
Process Optimization:
  • Evaluate existing engineering processes and systems to identify inefficiencies and recommend solutions.
  • Collaborate with engineering teams to implement process improvements and best practices.
Technical Support:
  • Provide analytical support for engineering projects, including design, testing, and implementation phases.
  • Conduct feasibility studies and risk assessments for new projects or technologies.
Performance Monitoring:
  • Monitor the performance of engineering systems, equipment, and processes to ensure they meet quality and safety standards.
Collaboration and Communication:
  • Work closely with engineers, project managers, and other stakeholders to align analytical insights with project goals.
  • Present technical information to non-technical audiences in a clear and concise manner.
Tool and Software Utilization:
  • Use engineering software, data analysis tools, and programming languages (e.g., MATLAB, Python, SQL, Excel) to perform analyses and simulations.
  • Stay updated on emerging technologies and tools to enhance analytical capabilities.
Compliance and Standards:
  • Ensure all engineering analyses and recommendations comply with industry standards, regulations, and company policies.


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