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T-Mobile Logo T-Mobile · IT - Administration

Business Analysis Manager | Reverse Logistics (Returns, Repair, Liquidation)

United States, Coppell Employment contract 77900.00 - 140500.00 USD / Year · Job Posted June 03, 2026
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Job Description

This role supports strategic and operational decision-making by delivering insights and analysis across the business. It manages data mining, business intelligence, and reporting to provide actionable recommendations. The role collaborates with multiple teams to conduct complex modeling and analysis for business improvements. Success is measured by the accuracy and impact of insights that inform resource prioritization and performance benchmarks. The work influences organizational strategies and enhances customer experiences through data-driven solutions.

Job Responsibility

  • Provide insights and recommendations that optimize business experiences through cross-functional collaboration and data analysis
  • Develop and maintain data and reporting solutions including dashboards, reports, and self-service tools to support enterprise goals
  • Apply analytical and modeling techniques to support decision-making and resource prioritization across the organization
  • Participate in the design and administration of reporting structures and interfaces for standardized use across teams
  • Also responsible for other duties/projects as assigned by business management as needed

Requirements

  • Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 year of related work experience
  • Acceptable areas of study include Data Analysis, Data Science, similar quantitative fields or equivalent practical experience
  • 4-7 years working experience solving analytical problems using quantitative approaches
  • Working experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.)
  • Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research
  • Data Analysis - Exceptional at using wide ranging datasets to deliver broad analysis and insights to maximize value creation and return on investment
  • Problem Solving
  • Communication - Ability to manage relationships, influence and communicate complicated analysis, logic, and solutions in a clear and concise manner and provide decision support, analysis and recommendations that help to drive effective execution of initiatives
  • Financial Modeling
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice to have

  • Working experience with Python, R, Go or similar statistics or data science language preferred
  • Telecommunication experience
  • Telecommunications
  • Other Business Certification

What we offer

  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Paid time off and up to 12 paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short- and long-term disability
  • Voluntary AD&D coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs
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