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Logistics Data Analyst Intern Jobs in Texas (NOW HIRING)

TIAG®

Data Analyst

San Antonio, TX · Hybrid

Description TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program. This role will join our team supporting the execution of advanced extraction, querying ...

TIAG

Data Analyst

San Antonio, TX · Hybrid

TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program. This role will join our team supporting the execution of advanced extraction, querying, and ...

IntegraFEC

(FALL) Research Analyst Intern

Austin, TX · On-site

(FALL) Research Analyst Intern Austin, Texas Integra's mission is to restore integrity to the ... Gathering of publicly available data and information * Compiling and summarizing research * Other ...

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Logistics Data Analyst Intern information

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?

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

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Logistics Data Analyst Intern jobs near you
Infographic showing various Logistics Data Analyst Intern job openings in Texas as of August 2026, with employment types broken down into 14% Internship, 65% Full Time, 12% Part Time, 3% Temporary, and 6% Contract. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution.

Reverse Logistics Data Analyst

Prime Communications

Sugar Land, TX • On-site

Full-time

Posted yesterday

New

Prime Communications rating

5.8

Company rating: 5.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

22nd of 30 rated technology retailers

Job description

Position Summary
The Reverse Logistics Data Analyst is responsible for analyzing, optimizing, and reporting on device return, recovery, refurbishment, and disposition processes within AT&T's supply chain network. This role leverages data analytics to improve asset recovery rates, reduce losses, streamline reverse supply chain operations, and ensure compliance with operational and financial controls.
The ideal candidate combines strong analytical expertise with operational acumen in telecommunications device lifecycle management.
Key Responsibilities
Data Analysis, Research & Reporting
  • Analyze reverse logistics data including device returns, RMA trends and trade-ins
  • Identify root causes of processing delays, loss exposure, or compliance gaps.
  • Perform variance analysis across all systems.

Process Optimization
  • Partner with Supply Chain, Retail Operations, Finance, and IT to streamline reverse logistics workflows.
  • Identify process bottlenecks and recommend automation or system enhancements.
  • Analyze carrier-related issues (e.g., shipment discrepancies, scan compliance, damage trends).

Financial & Inventory Controls
  • Monitor financial impact of returns, write-offs, credits, and vendor chargebacks.
  • Support reconciliation efforts between physical inventory and system records.
  • Assist in forecasting reverse volume trends and recovery projections.

Cross-Functional Collaboration
  • Work with distribution centers, field leadership, AR/retail teams, and vendors to resolve data discrepancies.
  • Provide executive-level reporting and insights.
  • Support strategic initiatives related to device lifecycle management and sustainability goals.

Preferred Qualifications
  • Bachelor's degree in Supply Chain, Business Analytics, Finance, Statistics, or related field.
  • 2+ years of experience in data analytics, supply chain analytics, or reverse logistics.
  • Advanced proficiency in Excel (pivot tables, Power Query, complex formulas).
  • Strong analytical, problem-solving, and root cause analysis skills.
  • Ability to translate complex datasets into actionable insights.
  • Experience in telecommunications or consumer electronics supply chain.
  • Knowledge of device lifecycle management and refurbishment operations.

Core Competencies
  • Data-driven decision making
  • Operational risk assessment
  • Process improvement mindset
  • Stakeholder communication
  • Attention to detail

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