Performance Management is seeking a technically versatile, data-driven analyst to support operational intelligence across vehicle logistics, port operations, and affiliated networks. This role blends analytics, application development, and automation to deliver scalable, user-centered solutions that improve operational visibility and performance. The ideal candidate will build interactive dashboards, develop responsive data tools, and streamline reporting workflows while integrating backend data systems and modern web technologies. Success in this role requires collaboration within Agile environments, attention to user experience, and a proactive approach to improving efficiency through automation and emerging AI-assisted solutions. - Design, develop, and maintain interactive dashboards and responsive reporting interfaces (Power BI or equivalent) to monitor KPIs related to vehicle throughput, port operations, and logistics performance
- Build, optimize, and manage SQL queries and backend data processes to support reliable, scalable data storage and retrieval
- Develop user-friendly data tools and web-based components that improve accessibility, usability, and cross-device consistency
- Integrate data from multiple systems, APIs, and enterprise platforms to support analytics and operational workflows
- Use Python and notebooks for data exploration, visualization, automation, and analytical prototyping
- Conduct trend, variance, and root cause analyses to identify inefficiencies and improvement opportunities
- Build and refine predictive models (e.g., regression, classification) to support forecasting and risk identification
- Automate recurring reporting and data workflows to reduce manual effort and improve delivery speed
- Implement AI-assisted or automation features that accelerate reporting, content generation, or UI development
- Collaborate with developers, analysts, and operational stakeholders in an Agile environment to deliver production-ready solutions
- Translate analytical findings into clear, user-focused insights and recommendations for technical and non-technical audiences
- Document data workflows, system logic, and development processes to support knowledge sharing and scalability
- Optimize dashboard and application performance by improving query efficiency, load times, and refresh processes
- Implement role-based access considerations and data security best practices within analytics tools and reporting environments
- Participate in usability testing and incorporate stakeholder feedback to improve interface design and workflow efficiency
- Develop reusable components, templates, or scripts to standardize development and accelerate future analytics tool delivery - Support executive reporting and performance reviews through clear visualizations, summaries, and analytical insights
- Participate in Agile sprint planning, testing cycles, and retrospectives to support continuous improvement
- Assist in documenting system architecture, data flows, and tool configurations to support maintainability and onboarding
- Provide user training materials and guidance to improve adoption and effective use of analytics tools
- Monitor tool usage and gather feedback to identify opportunities for usability improvements and feature enhancements
- Support data governance initiatives by promoting quality standards, consistency, and ethical data practices
- Collaborate with IT and platform teams to troubleshoot integration issues and improve system reliability
- Support testing and validation during deployment of dashboards, automation workflows, or new platform features
- Contribute to backlog refinement by identifying technical debt and workflow improvement opportunities - Conduct benchmarking and industry research to inform operational and technology improvement initiatives
- Assist with system integrations, platform upgrades, and analytics-driven process redesign efforts
- Maintain continuous learning by evaluating emerging development frameworks, automation tools, and AI-assisted analytics technologies
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