Senior Analyst – Logistics Data Analytics

Senior Analyst – Logistics Data Analytics

Requirements

• Typically requires a Degree in Engineering, Computer Science, Business Analytics, or related discipline.
• Experience in logistics system architecture and data analytics within the aerospace or manufacturing industry.
• Participation in system implementation projects, from conception to post-implementation governance.
• Minimum of 2 years of relevant experience
• U.S. Person (U.S. citizen, permanent resident, refugee or asylee)

Responsibilities

• Data definitions and collection: define master data and transportation data standards. Collect business requirements and business intelligence from stakeholders to inform data needs.
• Data cleansing and validation: Perform data cleansing and validation to ensure accuracy and reliability of logistics data. Develop and maintain data quality standards and procedures
• Data repository development: Design and develop data repositories to store and manage logistics data. Ensure data repositories are scalable and secure to support logistics needs.
• Data analysis and modeling: Conduct thorough data analyses and modeling to extract actionable insights for logistics operations. Use statistical methods and data modeling techniques to support decision-making.
• Integration of analysis results: Integrate analysis results into logistics processes and systems. Communicate findings and recommendations related to logistics to stakeholders effectively.
• Support ad hoc requests: Respond to ad hoc data and analysis requests. Provide timely and accurate data insights to support immediate logistics needs.

Preferred Qualifications

• Project management and change management
• Databases, data management and business intelligence
• Data analysis and modeling tools
• Regulatory, and information technology and cybersecurity compliance
• Demonstrated ability to communicate at all levels of an organization