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 ...
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 ...
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Logistic Data Analyst information
What is a logistic data analyst?
How does a logistic data analyst typically collaborate with other departments within a company?
What are the key skills and qualifications needed to thrive as a logistic data analyst, and why are they important?
What is the difference between Logistic Data Analyst vs Supply Chain Analyst?
| Aspect | Logistic Data Analyst | Supply Chain Analyst |
|---|---|---|
| Credentials | Degree in logistics, supply chain, or related field; data analysis certifications | Degree in supply chain management, logistics, or business; data analysis certifications |
| Work Environment | Logistics companies, transportation firms, warehouses | Manufacturers, retailers, distribution centers |
| Employer & Industry Usage | Focuses on transportation, freight, and logistics operations | Oversees entire supply chain processes including procurement and distribution |
While both roles involve data analysis within logistics and supply chain contexts, Logistic Data Analysts primarily focus on transportation and freight data, whereas Supply Chain Analysts oversee broader supply chain processes. The roles often overlap but differ in scope and specific responsibilities.
Are logistics data analysts in high demand?
What degree do you need to be a logistic data analyst?
What is the average salary for a logistic data analyst?
What cities in Texas are hiring for Logistic Data Analyst jobs?
Cities in Texas with the most Logistic Data Analyst job openings:

Reverse Logistics Data Analyst
Sugar Land, TX • On-site
Full-time
Posted 26 days ago
Prime Communications rating
5.9
Based on 66 frontline employees who took The Breakroom Quiz
21st of 30 rated technology retailers
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).
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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