Sr. Reverse Logistics Data Analyst

Job description

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 Qualifications: 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 analytic...