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Reverse Logistics Analyst Jobs (NOW HIRING)

As a Senior Analyst, Reverse Logistics at WHOOP, you will manage and optimize the reverse logistics network supporting our global membership base, improving the efficiency, cost structure, and member ...

As a Senior Analyst, Reverse Logistics at WHOOP, you will manage and optimize the reverse logistics network supporting our global membership base, improving the efficiency, cost structure, and member ...

As a Senior Analyst, Reverse Logistics at WHOOP, you will manage and optimize the reverse logistics network supporting our global membership base, improving the efficiency, cost structure, and member ...

The role of a Reverse Logistics Expert can provide you with the: * Knowledge of guest service fundamentals and experience supporting a guest first culture across the store * Experience in retail ...

The role of a Reverse Logistics Expert canprovide you with the: * Knowledge of guest service fundamentals and experience supporting a guest first culture across the store * Experience in retail ...

The role of a Reverse Logistics Expert canprovide you with the: * Knowledge of guest service fundamentals and experience supporting a guest first culture across the store * Experience in retail ...

About This Role The Reverse Logistics Specialist will be responsible for managing the end-to-end ... Support root cause analysis and identify trends in returns. * Coordinate with Finance on credit ...

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Reverse Logistics Analyst information

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How much do reverse logistics analyst jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for reverse logistics analyst in the United States is $38.14, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $51.44 per hour, depending on experience, location, and employer.

What are Reverse Logistics Analysts?

Reverse Logistics Analysts are professionals responsible for managing and optimizing the return flow of goods, materials, and products from customers back to manufacturers or distribution centers. They analyze data related to product returns, recycling, refurbishing, and disposal processes to improve efficiency and reduce costs. Their work helps organizations recover value from returned products, comply with environmental regulations, and enhance customer satisfaction by ensuring smooth return and replacement processes.

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

To thrive as a Reverse Logistics Analyst, you need strong analytical skills, knowledge of supply chain management, and a relevant degree in logistics or business. Familiarity with ERP systems, data analysis tools like Excel, and sometimes certifications such as APICS or Six Sigma are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this field. These competencies are crucial for optimizing returns processes, minimizing costs, and ensuring efficient resource recovery in supply chain operations.

What is the difference between Reverse Logistics Analyst vs Logistics Coordinator?

AspectReverse Logistics AnalystLogistics Coordinator
CredentialsTypically requires a degree in supply chain, logistics, or related field; certifications like APICS CPIM are commonSimilar educational background; certifications are optional but beneficial
Work EnvironmentFocuses on managing product returns, recycling, and reverse supply chain processesOversees overall supply chain operations, including shipping, receiving, and inventory management
Employer & Industry UsageUsed in manufacturing, retail, and e-commerce sectors handling product returns and sustainabilityCommon across various industries managing daily logistics and distribution tasks

The Reverse Logistics Analyst specializes in managing product returns and reverse supply chains, while the Logistics Coordinator oversees broader logistics operations. Both roles require similar educational backgrounds and are vital in supply chain management, but they focus on different aspects of logistics processes.

What are some common challenges faced by Reverse Logistics Analysts in managing returns and how are they typically addressed?

Reverse Logistics Analysts often encounter challenges such as handling high volumes of product returns, coordinating with multiple departments, and optimizing return processes to minimize costs. These issues are typically addressed by implementing robust tracking systems, collaborating closely with warehouse and customer service teams, and continuously analyzing data to identify process improvements. Effective communication and adaptability are essential, as priorities can shift quickly based on product demand and customer needs.
More about Reverse Logistics Analyst jobs
Who are the top companies hiring for Reverse Logistics Analyst jobs? The top employers for Reverse Logistics Analyst jobs are:
What job categories do people searching Reverse Logistics Analyst jobs look for? The top searched job categories for Reverse Logistics Analyst jobs are:
Infographic showing various Reverse Logistics Analyst job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $79,333 per year, or $38.1 per hour.
Reverse Logistics Data Analyst

Reverse Logistics Data Analyst

Prime Communications

Sugar Land, TX • On-site

Full-time

Posted 8 days ago


Prime Communications rating

5.6

Company rating: 5.6 out of 10

Based on 64 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

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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