Reverse Logistics Data Analyst

Primecareers; Town of Texas (WI); On-site; USD 65,000 - 90,000; Full time

Job summary

AT&T is seeking a Reverse Logistics Data Analyst to analyze device returns, refurbishments, and disposition within the supply chain. The role focuses on optimizing asset recovery rates, reducing losses, and ensuring compliance through data-driven insights.

The ideal candidate combines strong analytical expertise with operational acumen in telecommunications lifecycle management, supporting cross-functional teams and executive reporting.

Qualifications

• Bachelor’s degree in a related field is required.
• Minimum 2 years of data analytics or reverse logistics experience.
• Advanced Excel skills including pivot tables and Power Query.
• Strong analytical, problem-solving and root-cause analysis abilities.

Responsibilities

• Analyze reverse logistics data including device returns and trade-ins.
• Identify root causes of processing delays, losses exposure, or compliance gaps.
• Perform variance analysis across systems.
• Collaborate with cross-functional teams to streamline workflows.
• Provide executive-level reporting and insights.

Skills

Excel proficiency

Analytical thinking

Root cause analysis

Data storytelling

Telecom supply chain experience

Education

Bachelor’s degree in Supply Chain, Business Analytics, Finance, Statistics, or related field

Tools

Power Query

Job description

Position Summary

The Reverse Logistics Data Analystis 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 analyticalexpertisewith operational acumen in telecommunications device lifecycle management.

KeyResponsibilities

Data Analysis, Research &Reporting

• Analyze reverselogisticsdata including device returns, RMAtrendsandtrade-ins

• Identifyroot causes of processing delays,lossexposure, or compliance gaps.

• Perform variance analysis acrossall systems.

Process Optimization

• Partner with Supply Chain, Retail Operations, Finance, and IT to streamline reverselogisticsworkflows.

• Identifyprocess bottlenecks and recommend automation or system enhancements.

• Analyze carrier-related issues (e.g., shipment discrepancies, scan compliance, damage trends).

Financial & Inventory Controls

• Monitorfinancial impactof returns, write-offs, credits, and vendor chargebacks.

• Support reconciliation efforts between physical inventory and system records.

• Assistin 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 relatedfield.

• 2+ years of experience in data analytics, supply chain analytics, or reverselogistics.

• Advancedproficiencyin 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