Sr Business Analysis Manager, Customer Service

About the Role

Key Responsibilities

• Interact with various teams across 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 measures of success: metrics and benchmarks.
• Utilize analytical and consulting frameworks 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 a 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, similar quantitative fields or equivalent practical experience.
• 7-10 years of analytics experience solving analytical problems using quantitative approaches.
• Experience with reporting and analyzing performance & data visualization tools such as Databricks, Snowflake, Tableau, Power BI.
• Advanced analytics skills, including SQL analysis of complex datasets, competitive analysis, quantitative analysis & research.
• Experience with Python, R, Go or similar statistics or data science language.
• Strong communication ability to manage relationships, influence, and communicate complicated analysis, logic, and solutions at the executive level.
• Problem-solving skills.
• Exceptional data analysis skills using wide-ranging datasets to deliver insights.
• Financial modeling skills.
• Legally authorized to work in the United States.
• At least 18 years of age.

Nice to Have

• Experience with telecommunications or customer marketing.

Qualifications

• Bachelor's Degree in Data analysis, data science, decision science, or similar fields.
• 7-10 years of analytics experience.
• Experience with data visualization and reporting tools.
• Proficiency in SQL and at least one data science language such as Python, R, or Go.
• Legally authorized to work in the United States.
• At least 18 years of age.

Benefits & Perks

• Competitive base salary and compensation package including annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches.
• Medical, 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.
• Short- and long-term disability, voluntary AD&D, accident, life, disability, and long-term care insurance.
• Mobile service & home internet discounts, pet insurance, transit programs.