Sr Business Analysis Manager | Reverse Logistics (returns, Repair, Liquidation)

T-Mobile T-Mobile · Telecom · Coppell, TX

This role is a Sr. Business Analysis Manager focused on Reverse Logistics (Returns, Repair, Liquidation) at T-Mobile. The primary responsibilities include delivering insights and supporting strategic/operational decisions through advanced data analysis, generating analysis, reporting, and recommendations using statistics, data science, and business intelligence tools. The role emphasizes leading collaborative efforts across multiple teams to address complex modeling and analysis requests, influencing organizational strategies and customer experiences through data-driven improvements.

What you'd actually do

  1. Provide insights and recommendations that optimize experiences by collaborating with cross-functional teams across the organization
  2. Develop and maintain data and reporting solutions including reports, dashboards, and self-service tools to support enterprise objectives
  3. Apply analytical and modeling techniques to enhance decision-making and prioritize resources across various business options
  4. Create and deliver executive-level presentations that clearly communicate complex analytical findings to influence leadership decisions

Skills

Required

  • Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
  • Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience
  • 7-10 years Analytics experience solving analytical problems using quantitative approaches
  • Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.)
  • SQL analysis of complex datasets
  • Competitive analysis
  • Quantitative analysis & research
  • Communication Ability to manage relationships, influence and communicate complicated analysis, logic, and solutions in a clear and concise manner at the executive level and provide decision support, analysis and recommendations that help to drive effective execution of initiatives.
  • Problem Solving
  • Data Analysis Exceptional at using wide ranging datasets to deliver broad analysis and insights to maximize value creation and return on investment.
  • Financial Modeling

Nice to have

  • Python, R, Go or similar statistics or data science language
  • Telecommunications