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Logistics Data Analyst Intern Jobs in Florida (NOW HIRING)

Supply Chain Analyst Intern

Melbourne, FL ยท On-site +1

$16.75 - $22.50/hr

This intern will be encouraged to ask questions, explore data, and help design solutions that ... Organize, analyze, and interpret datasets originating from ERP systems, data enrichment sources ...

New

Supply Chain Analyst Intern

Melbourne, FL ยท On-site

$16.75 - $22.50/hr

This intern will be encouraged to ask questions, explore data, and help design solutions that ... Organize, analyze, and interpret datasets originating from ERP systems, data enrichment sources ...

New

Supply Chain Analyst Intern

Melbourne, FL ยท On-site +1

$16.75 - $22.50/hr

This intern will be encouraged to ask questions, explore data, and help design solutions that ... Organize, analyze, and interpret datasets originating from ERP systems, data enrichment sources ...

Using engineering drawings and other product development data develop Logistic Maintenance Data, Potential Repairable List, Support Equipment Recommendations Data, Maintenance Analysis Data (AVE and ...

Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics ... environment. * Strong proficiency in data analysis tools and programming languages like Python, R ...

DATA ANALYST

Tampa, FL ยท On-site

Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics ... environment. * Strong proficiency in data analysis tools and programming languages like Python, R ...

Data Analyst

Miami, FL ยท On-site +1

$75K - $85K/yr

Data Analyst Location: Remote (Central or Eastern U.S.) Compensation : $75,000-$85,000 DOE annual ... Pricing, revenue management, logistics, or supply chain analytics Why Join World Fuel At World Fuel ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

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Logistics Data Analyst Intern information

What does a logistics data analyst intern do?

A Logistics Data Analyst Intern assists with collecting, analyzing, and interpreting data related to supply chain and logistics operations. Their main responsibilities include preparing reports, identifying trends, and supporting process improvements to increase efficiency and reduce costs. They often use data visualization tools and collaborate with logistics teams to solve real-world business challenges. This role is ideal for students or recent graduates interested in gaining hands-on experience with data analysis in a logistics context.

What are the key skills and qualifications needed to thrive as a logistics data analyst intern?

To thrive as a Logistics Data Analyst Intern, you need strong analytical abilities, attention to detail, and foundational knowledge of logistics or supply chain concepts, often supported by coursework in data analysis or business. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Effective communication, problem-solving, and a proactive learning attitude are important soft skills for collaborating with teams and presenting insights. These skills enable interns to extract actionable insights from logistics data, driving efficiency and informed decision-making in supply chain operations.

What types of projects and data sets can a logistics data analyst intern expect to work with during their internship?

As a Logistics Data Analyst Intern, you will typically work on projects involving the analysis of supply chain operations, transportation efficiency, and inventory management. You'll often handle large datasets derived from shipment tracking, warehouse management systems, and supplier performance metrics. Your role may include cleaning and organizing data, generating reports, and using tools like Excel, SQL, or data visualization software to identify trends and recommend improvements. Collaboration with logistics coordinators, supply chain managers, and IT departments is common, providing a well-rounded view of logistics operations.

What is the difference between Logistics Data Analyst Intern vs Logistics Data Analyst?

AspectLogistics Data Analyst InternLogistics Data Analyst
Required CredentialsTypically pursuing or recent graduate with coursework in logistics, data analysis, or related fieldsBachelor's degree in logistics, supply chain management, or data analysis; some roles prefer or require a master's degree
Work EnvironmentInternship setting, often part-time or seasonal, in logistics or supply chain departmentsFull-time professional role within logistics or supply chain teams in various industries
Employer & Industry UsageUsed by companies offering internship programs to train future analystsUsed by companies for ongoing logistics data analysis and decision support

The main difference between a Logistics Data Analyst Intern and a Logistics Data Analyst is experience level and employment status. Interns are typically students gaining practical experience, while analysts are full-time professionals responsible for ongoing data analysis and decision-making in logistics operations.

What job categories do people searching Logistics Data Analyst Intern jobs in Florida look for?

The top searched job categories for Logistics Data Analyst Intern jobs in Florida are:

What cities in Florida are hiring for Logistics Data Analyst Intern jobs?

Cities in Florida with the most Logistics Data Analyst Intern job openings:

Supply Chain Analyst Intern

L3HHCM20

Melbourne, FL โ€ข On-site, Remote

$16.75 - $22.50/hr

Internship

Posted 3 days ago

New


Job description

Job Title: Supply Chain Analyst Intern

Job Schedule: 9/80

Job ID: 38662

Job Location: Melbourne, FL

Job Description:ย 

At L3Harris, our Corporate Supply Chain organization is a high-visibility team focused on leveraging enterprise scale, enabling strategic digital tools, and strengthening supplier relationships across the company. This role sits within the Corporate Capability Center and will play a key role in shaping the future of L3Harris's digital supply chain capabilities. The ideal candidate is intellectually curious, comfortable working with data, and eager to think through complex problems from both a customer and systems perspective. This intern will be encouraged to ask questions, explore data, and help design solutions that improve visibility, decision-making, and operational effectiveness across the supply chain.

ย 

Key Responsibilities include:

  • Organize, analyze, and interpret datasets originating from ERP systems, data enrichment sources, supplier subcontracting reports, and internal knowledge management systems.
  • Perform in-depth analysis of supplier classifications across the enterprise to identify common suppliers, inconsistencies, and opportunities for standardization.
  • Develop analytical tools, dashboards, or models that improve process efficiency, transparency, and data visibility.
  • Collaborate with Purchasing, Supply Chain, and business segment teams to understand procurement workflows, challenges, and customer needs.
  • Partner with IT and analytics teams to support enhancements to existing tools and help identify opportunities for new digital solutions.
  • Translate data findings into clear insights, recommendations, and visualizations that support business decision-making.
  • Support the Supply Chain AI Council by contributing data-driven insights, exploring innovative ideas, and helping evaluate opportunities to apply analytics and AI to supply chain use cases.

Qualifications

  • To be eligible, applicants must be pursuing a Bachelor's degree in Supply Chain Management, Industrial Engineering, Data Analytics, Information Technology, Operations Management, or a related field.

Preferred Skills

  • Intermediate to advanced Excel skills (e.g., advanced formulas, pivot tables, data validation).
  • Hands-on experience with data and visualization tools such as Tableau, Power BI, or similar platforms.
  • Exposure to scripting or programming languages such as Python, R, C#, Java, or similar.
  • Minimum GPA of 3.0 or higher.
  • Strong analytical mindset with a curiosity for exploring data and understanding how it connects to real business problems.
  • Experience working with both quantitative and qualitative datasets (e.g., financial, performance, or operational data).
  • Ability to synthesize data from multiple sources and identify patterns, trends, and insights.
  • Strong communication and presentation skills, with the ability to explain findings to both technical and non-technical audiences.
  • Ability to work independently while collaborating effectively with cross-functional and remote teams.
  • Demonstrated problem-solving skills with a willingness to propose ideas, challenge assumptions, and think creatively.