Data Analyst

The client is looking for a Data Analyst with experience with Trapeze and HASTUS for Bus and Rail scheduling, bidding, and daily operations. 
The client currently uses Trapeze and HASTUS for Bus and Rail scheduling, bidding, and daily operations. This role is for a Data Analyst who will translate complex data into actionable insights that inform strategic business decisions. This role involves collaborating closely with stakeholders across the organization to understand their needs, develop analytical solutions, and present findings clearly. The position requires expertise in data analysis techniques, strong communication skills, and a keen interest in uncovering patterns within data. It is also essential for this resource to be able to learn HASTUS to provide ongoing support to the Bus and Rail Scheduling Operations teams.
• Ability to learn HASTUS to provide ongoing support to the Bus and Rail Scheduling Operations teams.
• Review system-specific data elements and work with stakeholders to define and document interface requirements to implement new system interfaces.
• Work with subject matter experts and system admins to document existing system interfaces and data flows within the enterprise.
• Collaborate with stakeholders to understand business requirements and translate them into specific analytical tasks.
• Design, develop, and execute complex data
• Collect, clean, and prepare large datasets for analysis, ensuring data quality and integrity.
• Perform statistical analysis, data mining, and predictive modeling to identify trends, patterns, and insights.
• Develop and maintain dashboards and reports to visualize data and communicate findings to stakeholders.
• Present complex data analysis results in a clear and concise manner to both technical and non-technical audiences.
• Proactively identify opportunities for data-driven improvements and contribute to the development of data-driven strategies.
• Mentor and guide junior analysts, sharing knowledge and best practices.
• Stay up to date with the latest data analysis techniques and tools.
• Contribute to the development and improvement of data analysis processes and methodologies