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At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! The Sr Business Analysis Manager delivers big insights and helps leaders throughout the business to make critical strategic and operational decisions and shape the long-term vision of T-Mobile. The Sr Business Analysis Manager is responsible for insights, analysis, and reporting using various analytical techniques and software including statistics, data science, data mining, machine learning and business intelligence/reporting software. They create customer-centric recommendations informed by analysis, good business acumen and partner with the business to drive improvements in a matrixed environment through creativity, and effective communication. They lead collaborative efforts with various teams including marketing, product and platform teams on complex modeling and analysis requests. This position also leads the design and development of reporting structures & interfaces, as well as administration of standardized reports to be utilized across teams. They are comfortable acting as an internal data SME and know where datasets are that will answer business questions. Job Responsibilities: Interact with various teams across the T-Mobile to provide insights, analysis and recommendations that deliver data-driven, optimized experiences. Serve as a key point of contact in providing data and reporting solutions to drive enterprise results, including reports, dashboards, visuals, and self-service environments Define product feature and campaign success metrics and benchmarks. Utilize analytical and modeling capability to enhance decision making across a range of options and present findings and recommendations for prioritization of resources to all levels of the organization. Construct executive-level presentations and present complex analytical findings in clear, concise and decision-impacting manner. Possess the ability to influence leadership through fact-based analysis. Education: Bachelor's Degree Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience (Required) Work Experience: 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) Telecommunications (Preferred) * At least 18 years of age * Legally authorized to work in the United States Travel: * Travel Required (Yes/No): No Base Pay Range: $96,700 - $174,400 Corporate Bonus Target: 20% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on va