Business Analysis Manager | Retail Distribution Strategy and Analytics

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Job Overview

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.

Job 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.

Education:

• Bachelor's Degree Data analysis, data science, similar quantitative fields or equivalent practical experience (Required)

Work Experience:

• 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)

• Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred)

• Telecommunications (Preferred)

Knowledge, 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. (Required)

• Problem Solving (Required)

• 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. (Required)

• Financial Modeling (Required)

• Telecommunications (Preferred)

Licenses and Certifications:

• Other Business Certification (Preferred)

• At least 18 years of age

• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
 

Base Pay Range: $77,900 - $140,500

Corporate Bonus Target: 15%

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