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Prime Communications Wireless Services

Reverse Logistics Data Analyst

Prime Communications Wireless Services Sugar Land, Texas, United States

Wireless Services · 5,001-10,000 employees

4 h ago
data-analyst Mid (2-5 yrs) Full-time United States
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About the role

The Reverse Logistics Data Analyst is responsible for analyzing, optimizing, and reporting on device return, recovery, and disposition processes within the supply chain. This role involves collaborating with cross-functional teams to streamline workflows, monitor financial impacts, and ensure operational compliance.

What they look for

Data Analysis Supply Chain Analytics Reverse Logistics Excel Pivot Tables Power Query Root Cause Analysis Process Optimization Financial Controls Inventory Reconciliation Forecasting Device Lifecycle Management Stakeholder Communication Data-driven Decision Making Operational Risk Assessment Reporting

Requirements

Candidates should possess a bachelor's degree in a relevant field and at least two years of experience in data or supply chain analytics. Proficiency in Excel and strong analytical skills are required to translate complex datasets into actionable insights.

Full 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. 

Qualifications

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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