Sr. Business Analysis Manager, Network Product Marketing

T-Mobile•Overland Park, KS

2d•Onsite

About The Position

This role owns the measurement spine that connects marketing programs, product experiences, and investments to commercial outcomes in support of the Network Product Marketing organization, responsible for T-Mobile's primary product: our network. The team markets both the network itself and a portfolio of productized experiences designed to make network performance tangible, relatable, and meaningful to consumers (e.g. network trial programs, customer-facing coverage and performance tools, among others). This role delivers insights and supports leaders in making strategic and operational decisions through advanced data analysis techniques. It primarily involves generating analysis, reporting, and recommendations using statistics, data science, and business intelligence tools. Its area of specialization is defining the KPI architecture that links perception, behavior, and growth across network marketing programs and product experiences, and building attribution frameworks that help disentangle the impact of multiple, overlapping factors that shape customer perceptions, behaviors, and commercial outcomes. At the program level, this role partners directly with PMMs on the team to build measurement plans, forecasting models, opportunity sizing, business cases, and reporting in support of their product and program strategies and learning agendas, with that work connecting individual program performance back into the larger measurement spine and organizational reporting. This includes performing queries, investigating hypotheses, and generating insights that inform and sharpen PMM strategy and decision-making. Success is measured by the clarity and adoption of the measurement framework and the degree to which evidence-based insights influence product, roadmap, and go-to-market decisions.

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
Acceptable areas of study include Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience (Required)
7-10 years of Analytics experience solving analytical problems using quantitative approaches. (Required)
7-10 years of Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.) (Required)
7-10 years of 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

Experience with Python, R, Go or similar statistics or data science language (Preferred)
Telecom experience (Preferred)
Communication : Ability to manage relationships, influence and communicate complicated analysis, logic, and solutions in a clear and concise manner at the executive level and provide decision support, analysis and recommendations that help to drive effective execution of initiatives. (Required)
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 skills ( Required)
Financial Modelling experience (Required)

Responsibilities

Provide insights and recommendations that optimize experiences by collaborating with cross-functional teams across the organization, including serving as a direct analytical partner to PMMs on the team in support of their product and program strategies, opportunity sizing, and business case modeling
Develop and maintain data and reporting solutions including reports, dashboards, and self-service tools to support enterprise objectives
Apply analytical and modeling techniques to enhance decision-making and prioritize resources across various business options
Create and deliver executive-level presentations that clearly communicate complex analytical findings to influence leadership decisions
Ensure alignment of Network Product Marketing measurement, and integration, with enterprise reporting, including Finance.