Sr Business Analysis Manager - Data Driven Strategy & Storytelling
T-Mobile USA, Inc.About the role
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!
*** This position may be located in New York, NY; Bellevue, WA; or Overland Park, KS. This is not a remote role, this is a hybrid schedule requiring at least 3 days a week in office.This role transforms complex business data into actionable insights, strategic recommendations, and compelling narratives that enable leaders to make informed operational and strategic decisions. Acting as a trusted advisor to leadership, the role connects data, business objectives, and organizational priorities to drive enterprise-wide impact and measurable business outcomes.
The position leverages advanced analytical techniques, business intelligence tools, and data engineering capabilities to uncover opportunities, identify risks, and influence decision-making. Beyond analysis, the role excels in data storytelling—translating complex findings into clear, executive-level communications that align stakeholders around a common vision and inspire action.
This role leads collaborative efforts across multiple teams to solve complex business challenges, define data strategies, and deliver scalable solutions. Success is measured by the quality of insights delivered, effectiveness in influencing decisions, ability to connect cross-functional priorities, and impact on organizational performance and customer experience.
The ideal candidate combines strong technical expertise with exceptional business acumen, executive presence, and strategic thinking. They possess the ability to evaluate the business holistically, connect disparate initiatives to enterprise objectives, and translate vision into actionable strategies that drive growth, efficiency, and customer value.
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)
Required Key Skills & Competencies
- Strategic Thinking & Business Acumen
- Connecting Enterprise Vision to Operational Execution
- Data Storytelling & Executive Communications
- Executive Presence & Stakeholder Influence
- Enterprise Data Strategy
- Cross-Functional Leadership & Collaboration
- Business Intelligence & Performance Management
- SQL & Data Query Optimization
- Power BI Dashboard Development & Visualization
- Alteryx Workflow Design & Automation
- Data Governance & Data Quality Management
- Translating Complex Data into Actionable Business Decisions
- At least 18 years of age
- Legally authorized to work in the United States
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 various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
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