Sr Business Analysis Manager, Fast Analytics

T-Mobile • Bellevue, WA

2d

About The Position

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! As a Sr. Business Analysis Manager, Fast Analytics, you will serve as a senior individual contributor delivering insights that support strategic and operational decision-making across the organization. This role is responsible for generating analysis, reporting, and recommendations using advanced statistical, data science, and business intelligence tools. You will partner with cross-functional teams to address complex, high-priority analytical requests, scope ambiguous business questions, and prioritize work based on business impact. Success is measured by the quality, timeliness, and clarity of insights provided, as well as the measurable impact on leadership decisions and organizational outcomes. Your work will influence enterprise strategy and customer experience by enabling data-driven improvements and informed business actions.

Requirements

• Bachelor’s Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required)
• Degree in Data Analysis, Data Science, Decision Science, or similar quantitative field, or equivalent practical experience (Required)
• 7–10 years of analytics experience solving complex business problems using quantitative approaches
• Advanced experience with SQL and analysis of complex datasets
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms
• Strong problem-solving skills with the ability to structure ambiguous challenges
• Exceptional data analysis capabilities across broad datasets to maximize value creation and return on investment
• Financial modeling experience supporting strategic and operational decision-making
• At least 18 years of age
• Legally authorized to work in the United States

Nice To Haves

• Experience with Python, R, Go, or similar statistical or data science language (Preferred)

Responsibilities

• Provide insights and recommendations that optimize business and customer outcomes through collaboration with cross-functional teams
• Independently manage and prioritize a pipeline of complex analytical requests based on urgency and business impact
• Scope and structure ambiguous business questions into clear analytical approaches
• Develop and maintain data and reporting solutions, including reports, dashboards, and self-service tools that support enterprise objectives
• Apply advanced analytical and modeling techniques, including SQL analysis of complex datasets, to enhance decision-making and resource prioritization
• Perform competitive analysis, quantitative research, and financial modeling to evaluate strategic alternatives
• Create and deliver executive-level presentations that clearly communicate complex analytical findings and recommendations
• Support execution of initiatives through data-driven insights and partnership across the organization
• Perform other duties and special projects as assigned

Benefits

• 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.
• 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.
• 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.
• eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior