Business Analysis Manager | Retail Distribution Strategy and Analytics

T-Mobile•Bellevue, WA

4d•Onsite

About The Position

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. Key areas of focus include sales substitution analysis, store profitability, and long-term distribution footprint planning, including determining the optimal number and geographic placement of retail locations. The 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 Business Analysis Manager is responsible for insights, analysis, and reporting using various analytical techniques and software including data mining 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 partner with various teams including marketing, product and platform teams on complex modeling and analysis requests. This position also participates in the design and development of reporting structures & interfaces, as well as administration of standardized reports to be utilized across teams.

Requirements

Bachelor's Degree Data analysis, data science, similar quantitative fields or equivalent practical experience (Required)
4-7 years Working experience solving analytical problems using quantitative approaches (Required)
4-7 years Working experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.) (Required)
4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Working experience with Python, R, Go or similar statistics or data science language preferred.
Telecommunications (Preferred)
Financial Modeling (Required)
Telecommunications (Preferred)
Other Business Certification (Preferred)

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.