*** This position must be located in New York, NY; Overland Park, KS; or Bellevue, WA. This is not a remote role - this is a hybrid schedule requiring at least 3 days a week in office. The Business Analysis Manager – Data Modeler serves as the critical link between business stakeholders and technology teams, ensuring that enterprise data structures, semantic layers, and reporting frameworks are designed to support business strategy, operational execution, and decision-making at all levels of the organization. This role partners closely with business leaders to understand processes, metrics, and decision-making needs, translating those requirements into scalable data models and semantic layer designs that enable consistent, trusted, and actionable insights. The position is deeply integrated into day-to-day business operations, maintaining a comprehensive understanding of evolving business priorities while collaborating with IT, data engineering, and architecture teams to deliver sustainable data solutions. The successful candidate combines strong business acumen with hands-on expertise in data modeling, semantic layer design, and analytics architecture. They possess the ability to design data structures that support frontline operational reporting, management performance tracking, and executive-level strategic insights while ensuring alignment with enterprise data standards and governance practices. Key Responsibilities Business Partnership & Data Strategy 37 Partner with business leaders to understand strategic objectives, operational processes, KPIs, and reporting requirements. 37 Translate business needs into scalable data models, semantic layers, and analytical frameworks. 37 Act as the primary liaison between business stakeholders and IT teams to ensure business requirements are accurately represented in technical solutions. 37 Drive alignment on business definitions, metrics, hierarchies, and data standards across organizations. 37 Identify opportunities to improve data accessibility, usability, and consistency across the enterprise. Data Modeling & Semantic Layer Design 37 Design and maintain conceptual, logical, and business-facing data models that support enterprise analytics and reporting needs. 37 Lead the design and governance of semantic layers to ensure consistent business definitions and metric calculations across reporting platforms. 37 Define data relationships, hierarchies, dimensions, measures, and business rules to support scalable self-service analytics. 37 Partner with data engineering and architecture teams to ensure data structures align with business requirements and analytical use cases. 37 Validate that data models effectively support frontline operations, leadership reporting, and executive decision-making. Delivery & Cross-Functional Leadership 37 Collaborate with IT, Data Engineering, Data Governance, and Business Intelligence teams to prioritize and deliver data solutions. 37 Participate in agile planning, requirements gathering, user acceptance testing, and solution validation activities. 37 Provide guidance and oversight for new data initiatives, ensuring business outcomes remain at the center of solution design. 37 Drive continuous improvement in data quality, usability, and adoption. 37 Influence enterprise data strategy by advocating for scalable and business-centric data solutions. Education and Work Experience: 37 Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required) 37 Acceptable areas of study include Data analysis, data science, similar quantitative fields or equivalent practical experience (Required) 37 4-7 years Working experience solving analytical problems using quantitative approaches (Required) 37 4-7 years Working experience reporting and analyzing performance & dta visualization (Tableau, Power BI, etc.) (Required) 37 4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required) 37 Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred) 37 Telecommunications (Preferred) 37 (Micro)Strategy tool experience (Preferred) 37 Power Automation Suite Experience, including Power apps (Preferred) Knowledge, Skills and Abilities: 37 Business Acumen (Required) 37 Dashboard Development (Required) 37 Data Analysis (Required) 37 Data Storytelling (Required) 37 Executive Presence (Required) 37 Financial Modeling (Required) 37 People Management (Required) 37 Project Management (Required) 37 Stakeholder Management (Required) 37 Strategic Thinking (Required) Licenses and Certifications: 37 Other Business Certification (Preferred) 37 At least 18 years of age 37 Legally authorized to work in the United States Base Pay Range: $77,900 - $140,500 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The successful candidates actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ357085paradox=1 At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We dont stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobiles amazing benefits, check out. Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers, because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, youre living our values while investing in your career growthand we applaud it. Youre unstoppable!