Reverse Logistics Data Analyst: Optimize Asset Recovery

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

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.