Business Analysis Manager – Distribution Analytics

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, SQL, Quantitative models, Analytical Techniques, Effective communication skills, Data Analysis

Job Description

T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop!

The Distribution Analytics team is focused on distribution strategy and optimization for both T-Mobile and Metro by T-Mobile brands. Driving insights into action and action into value is a key value of the team. Specific areas of focus include sales substitution analysis, synergies modeling and forecasting, and developing long term distribution footprint plans including numbers and locations of retail stores. Additional areas of focus include cross-brand impacts to distribution, digital channel impacts to distribution, store operations insights, etc.

The Business Analysis Manager role will be responsible for measuring and modeling distribution impacts across Consumer Markets. The ideal candidate will have a strong knowledge of data science practices and applications. A knowledge of financial modeling and strategy best practices and the ability to create executive level presentations also desired. The Business Analysis Manager Role will partner with teams within Consumer Markets and with other organizations across the company to algin on key strategies and forward-looking assumptions that are integral to the team’s decision analysis. Additionally, this role is tasked with combining market intelligence, forward looking insights, and data science modeling to reach optimal decision guidance.

Job Responsibilities:

• Perform continuous channel profitability analysis, understanding key drivers of performance (e.g. sales volumes, margin, customer retention, value creation, return on investment). Effectively communicate performance to channel leaders, and identify risks and opportunities.
• Partner with Channel Management, Sales, and Marketing to steer investments to drive value and margin performance in the channel. Specific analyses include store cannibalization, predictive models of store performance given set of localized information, trade area prioritization for expansion, fleet and sales channel optimization
• Partner with channel leadership to execute key operational initiatives. Work closely with internal clients to understand business issues, and incorporate them into business and financial models.
• Develop comprehensive financial models to aid in decision making and evaluation of initiatives, including scenarios and sensitivity analyses across a range of options. Perform post-mortem analyses to determine effectiveness of key investment decisions.
• Create executive-level presentations and present complex analytical findings in a clear and concise manner. Possess the ability to influence leadership through fact-based analyses.
• Demonstrate strong competency and comfort working with and analyzing large sets of data. Perform data mining as needed to support analyses and drive key insights.

Education:

• Bachelor's Degree Quantitative concentration

Work Experience:

• 4-7 years Working experience in financial and operational analysis. Required
• Telecommunication experience preferred. Preferred

Knowledge, Skills and Abilities:

REQUIRED

• Analysis
• Problem Solving
• Communication
• Financial Modeling

PREFERRED:

• Telecommunications