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

Job Overview This role delivers insights and supports leaders in making strategic and operational decisions through advanced data analysis techniques. It primarily involves generating analysis, reporting, and recommendations using statistics, data science, and business intelligence tools. The role differentiates itself by leading collaborative efforts across multiple teams to address complex modeling and analysis requests. Success is measured by the quality of insights provided, effectiveness of communication, and impact on decision‑making processes. The work influences organizational strategies and customer experiences by enabling data‑driven improvements and informed business actions. Job Responsibilities Provide insights and recommendations that optimize experiences by collaborating with cross‑functional teams across the organization. Develop and maintain data and reporting solutions including reports, dashboards, and self‑service tools to support enterprise objectives. Apply analytical and modeling techniques to enhance decision‑making and prioritize resources across various business options. Create and deliver executive‑level presentations that clearly communicate complex analytical findings to influence leadership decisions. Also responsible for other duties/projects as assigned by business management as needed. Education and Work Experience Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required). Acceptable areas of study include Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience (Required). 7‑10 years Analytics experience solving analytical problems using quantitative approaches. Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.) Advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research. Experience with Python, R, Go or similar statistics or data science language preferred. (Required). Telecommunications (Preferred). Knowledge, Skills and Abilities 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. (Required). Problem Solving (Required). Data Analysis – Exceptional at using wide ranging datasets to deliver broad analysis and insights to maximize value creation and return on investment. (Required). Financial Modeling (Required). Licenses and Certifications At least 18 years of age. Legally authorized to work in the United States. Travel Travel Required: No. Location This role is based in Coppell, TX and includes a five‑day per week onsite requirement at our Distribution Center. Remote work is not available for this position. Pay Range The base pay range for this position in Coppell, TX is $111,700 to $151,200. Equal Opportunity Employer Statement T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Disability Accommodation Statement If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing View email address on click.appcast.io or calling View phone number on click.appcast.io. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non‑accommodation related requests. #J-18808-Ljbffr T-MOBILE USA, Inc.