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! Job Overview The Customer Care Demand Planning team is looking for an energetic, self-directed, and detail-oriented candidate for the position of Sr. Business Analysis Manager. This senior-level individual contributor analyzes customer interactions with T-Mobile customer support systems and tools, including IVR, bots, and other automated methods. This person will provide key insights to leaders on system performance, evaluate impacts from newly-added functionality, identify opportunities to better serve our customers while meeting business goals, and develop reporting for use by our partners. This role is highly visible and requires robust partnership and collaboration across multiple teams. The ideal candidate is highly analytical, able to use data to derive conclusions and clear recommendations, and comfortable working with large and detailed data sets. To be successful in this position, the candidate must be able to communicate complex issues in simple terms, be comfortable with ambiguity, and possess the ability to work independently while producing a quality work product under tight timelines. 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. Work with large, complex data sets to extract and summarize information using SQL, working in platforms such as Snowflake, Azure, and Databricks. 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 (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 DOT Regulated: DOT Regula