Strategic Analytics & Insights Leader
Listed on 2026-05-29
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IT/Tech
Data Analyst, Data Science Manager
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)
Licenses and
Certifications:
- At least 18 years of age
- Legally authorized to work in the United States
Travel:
Travel Required (Yes/No):
No
DOT Regulated:
DOT Regulated Position (Yes/No):
No
Safety Sensitive Position (Yes/No):
No
Washington Pay Range : $ - $
The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay may be above or below 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 employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives.
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