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Logistics Data Analyst Intern Jobs (NOW HIRING)

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data analysis and data governance within a fast-paced, collaborative work environment. Working alongside the ...

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data analysis and data governance within a fast-paced, collaborative work environment. Working alongside the ...

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team, gaining hands-on experience in data analysis and data management within advocacy for social justice ...

Position OverviewWe are seeking a motivated and detail-oriented Data Analyst Intern to support data analysis, reporting, and business intelligence initiatives within our government contracting ...

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Data Analyst Intern The Data Analyst Intern is responsible for analyzing manufacturing and operational data to uncover trends, support decision-making, and drive process improvements. This intern ...

Data Analyst Intern The Data Analyst Intern is responsible for analyzing manufacturing and operational data to uncover trends, support decision-making, and drive process improvements. This intern ...

Data Analyst Intern

Los Angeles, CA · On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro, an analytical thinking, a team player and can speak the language of data - we want to hear from you!

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Logistics Data Analyst Intern information

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$22

$42

How much do logistics data analyst intern jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for logistics data analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 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 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 are the key skills and qualifications needed to thrive as a Logistics Data Analyst Intern, and why are they important?

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.
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Internship

Posted 13 days ago


Job description

Data Analyst Intern

Data Analyst Intern

Men of All Trades Tool Line is looking for a motivated Data Analyst Intern to help collect, organize, analyze, and report business data. This role is ideal for students or recent graduates who want to gain hands-on experience in data analytics and business intelligence.

Responsibilities:

  • Collect, clean, and organize data from various sources.

  • Analyze sales, inventory, customer, and operational data.

  • Create reports, dashboards, and data visualizations.

  • Identify trends, patterns, and opportunities for business improvement.

  • Assist with forecasting and performance tracking.

  • Present findings and recommendations to team members.

Requirements:

  • Currently pursuing or recently completed a degree in Data Analytics, Statistics, Mathematics, Computer Science, Business, or a related field.

  • Strong skills in Excel or Google Sheets.

  • Basic knowledge of SQL and data visualization tools such as Power BI or Tableau.

  • Good analytical, problem-solving, and communication skills.

  • Attention to detail and ability to work independently.

Preferred:

  • Experience with Python, R, or similar analytical tools.

  • Knowledge of business reporting and data analysis projects.