At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
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.
Job 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.
Education and Work Experience:
- 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)
- Experience with Python, R, Go or similar statistics or data science language (Preferred)
- Telecom experience (Preferred)
Knowledge, Skills and Abilities:
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)
- 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: $96,700 - $174,400
Corporate Bonus Target: 20%
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.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ351456¶dox=1
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out _www.t-mobilebenefits.com_.
Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.