Job summary
Job post source
This job is directly from AIT Worldwide Logistics
Job overview
The Data Analyst role at AIT Worldwide Logistics involves collecting and interpreting logistics data to identify faults and opportunities, supporting decision-making and operational improvements.
Responsibilities and impact
The Data Analyst will conduct data analysis using automated tools, develop and maintain databases, perform quality assessments, produce reports and forecasts, use statistical tools to identify trends, and provide data-driven recommendations to management.
Compensation and benefits
The position offers base compensation with potential bonuses based on performance, plus benefits including medical, dental, vision, life insurance, disability, 401(k), tuition reimbursement, paid leave, volunteer hours, and pet insurance.
Experience and skills
Candidates need a bachelor's degree, 4-6 years of data analysis experience, 1-3 years in transportation/logistics, proficiency in Microsoft Suite, AS400, Tableau, Power BI, strong data interpretation and analysis skills, and the ability to communicate with all organizational levels.
Career development
AIT promotes continuous learning and growth in a dynamic environment with opportunities to improve skills and advance within the company.
Work environment and culture
AIT values collaboration, customer service, respect, ownership, and a growth mindset, fostering a supportive and inclusive environment focused on community and teamwork.
Company information
AIT Worldwide Logistics is a global freight forwarder with over 40 years of experience, offering supply chain solutions across multiple industries with a global network and technology-driven services.
Job location and travel
The company operates globally with over 150 locations in Asia, Europe, and North America; specific job location details are not provided.
Unique job features
The role involves working with advanced data visualization and statistical tools within a logistics context, offering a chance to impact global supply chain operations.
Company overview
AIT Worldwide Logistics is a global supply chain solutions provider specializing in transportation management, warehousing, and distribution services. Founded in 1979, the company has grown to operate in over 100 countries, offering air, sea, and ground freight forwarding. AIT makes money by providing customized logistics solutions to various industries, including healthcare, retail, and automotive, leveraging its extensive network and advanced technology to optimize supply chain efficiency. Notable for its commitment to customer service and innovation, AIT has a history of strategic acquisitions and partnerships to expand its service offerings and global reach.
How to land this job
Position your resume to highlight your 4-6 years of experience in data analysis and reporting, especially within transportation or logistics, reflecting the job's core requirements at AIT Worldwide Logistics.
Emphasize your proficiency with Microsoft Suite, AS400, Tableau, and Power BI, along with your ability to use statistical tools and interpret complex data to produce actionable insights and forecasts.
Apply through multiple platforms such as AIT Worldwide Logistics' official corporate careers page, LinkedIn, and other reputable job boards to maximize your chances of being noticed for the Data Analyst role.
Connect on LinkedIn with current employees in AIT's data analytics or logistics divisions; start conversations by referencing a recent company initiative, expressing curiosity about their data projects, or asking how data analysis drives decision-making at AIT.
Optimize your resume for ATS by incorporating keywords like 'data analysis,' 'logistics,' 'Tableau,' 'Power BI,' 'statistical tools,' and 'forecasting,' ensuring your resume aligns with the job description's language and requirements.
Leverage Jennie Johnson's Power Apply feature to automate tailored resume submissions, identify multiple application channels, and discover LinkedIn contacts for networking, allowing you to focus more on preparing for interviews and honing your skills.
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