Business Analysis Manager | Retail Distribution Strategy and Analytics

About the role

The Distribution Analytics team drives distribution strategy and optimization for both the T-Mobile and Metro by T-Mobile brands. We partner across the business to deliver data-driven insights, analytical models, and strategic recommendations that shape how and where customers engage with our retail footprint. Our work helps optimize distribution while balancing multiple business objectives, including supporting digital adoption, maintaining customer access to our retail footprint, protecting activation flows, and maximizing profitability.

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.
• 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.

Requirements

• Bachelor's Degree in Data analysis, data science, similar quantitative fields or equivalent practical experience.
• 4-7 years working experience solving analytical problems using quantitative approaches.
• 4-7 years working experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.).
• 4-7 years working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research.
• Working experience with Python, R, Go or similar statistics or data science language preferred.

Qualifications

• Education: Bachelor's Degree in Data analysis, data science, similar quantitative fields or equivalent practical experience.
• Work Experience: 4-7 years working experience solving analytical problems using quantitative approaches.
• Work Experience: 4-7 years working experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.).
• Work Experience: 4-7 years working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research.
• Working experience with Python, R, Go or similar statistics or data science language preferred.

Skills and Abilities

• Data Analysis: Exceptional at using wide ranging datasets to deliver broad analysis and insights to maximize value creation and return on investment.
• Problem Solving: Ability to solve analytical problems using quantitative approaches.
• Communication: Ability to manage relationships, influence and communicate complicated analysis, logic, and solutions in a clear and concise manner and provide decision support, analysis and recommendations that help to drive effective execution of initiatives.
• Financial Modeling: Working experience with financial modeling.

Knowledge

• Telecommunications: Preferred knowledge in telecommunications industry.

Pay

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.