Business Analysis Manager, Service Strategy & Experiences

About the Role

Key Responsibilities

• Interact with various teams across the T-Mobile to provide insights, analysis and recommendations that deliver data-driven solutions and solve customer & frontline pain points
• 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
• Drive specific initiatives aimed at reducing customer effort and enhancing satisfaction for troubleshooting, ensuring alignment with the long-term vision and strategic goals of Center of Excellence
• 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

Requirements

• Bachelor's Degree in data analysis, data science, decision science, or similar quantitative fields or equivalent practical experience
• 4+ years of analytics experience solving analytical problems using quantitative approaches
• Experience with reporting & analyzing performance & data visualization tools (e.g., Tableau, Power BI)
• Proficiency in SQL analysis of complex datasets, competitive analysis, quantitative analysis & research
• Ability to construct executive-level presentations and communicate complex findings clearly
• Strategic thinking and ability to lead cross-functional teams including data science, engineering, business stakeholders, and product managers
• Data analysis skills using wide-ranging datasets to deliver insights
• Project management skills with the ability to plan and engage others effectively
• Excellent communication skills to synthesize analysis into succinct, executive-ready formats
• Legal authorization to work in the United States
• At least 18 years of age

Nice to Have

• Knowledge of the wireless / telecom industry and technology sector
• Familiarity with real-time data, APIs and centralized decisioning engines
• Experience with Python, R, Go or similar data science languages
• Financial analysis skills including building financial models and sensitivity analysis

Qualifications

• Bachelor's Degree in a relevant field or equivalent practical experience
• 4+ years of analytics experience

Benefits & Perks

• Competitive base salary and compensation package
• Annual stock grant, employee stock purchase plan, 401(k)
• Access to free, year-round money coaches
• Comprehensive health, dental, and vision insurance
• Flexible spending account, paid time off, up to 12 paid holidays
• Paid parental and family leave, family building benefits, back-up care, childcare subsidy, tuition assistance, college coaching
• Disability, voluntary AD&D, accident, life, and long-term care insurance
• Mobile service & home internet discounts, pet insurance, transit programs