Reverse Logistics Data Analyst

Prime Communications; Sugar Land (TX); On-site; USD 65,000 - 95,000; Full time

Job summary

AT&T is seeking a Reverse Logistics Data Analyst to analyze device returns, refurbishment, and disposition within the supply chain. You will leverage data to improve asset recovery, reduce losses, and ensure compliance across operations.

The role requires 2+ years in data analytics or reverse logistics, strong Excel skills, and the ability to translate complex datasets into actionable insights for cross-functional partners.

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.

Responsibilities

• 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.
• 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).
• 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.
• 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.

Skills

Data analytics

Supply chain analytics

Reverse logistics

Analytical thinking

Root cause analysis

Education

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

Tools

Pivot tables in Excel

Power Query in Excel

Complex formulas in Excel

Job description

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).
• 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.