Sr Business Analysis Manager – Media Analytics & Attribution

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** This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in the greater Seattle, Washington area.**

Join T-Mobile’s Media Analytics team and help shape the future of marketing measurement through data-driven decision-making. As a Sr. Business Analysis Manager, Media Analytics, you will lead high-impact analytics initiatives that evaluate paid media performance, improve measurement frameworks, and guide investment strategy across channels.

This role requires an equal balance of technical expertise, analytical rigor, and communication skills. You will work with large, complex datasets, apply advanced measurement methodologies, and translate findings into clear, actionable recommendations for business and executive stakeholders. You will partner closely with teams across Marketing, Media, Finance, Analytics, Data Science, and AdTech to help ensure campaigns deliver measurable business value and ROI.

What You’ll Do:

• Lead complex media analytics initiatives to evaluate performance across channels, identify optimization opportunities, and quantify business impact.
• Serve as a strategic analytics partner to Marketing and Media stakeholders by defining business questions, recommending measurement approaches, and interpreting results.
• Apply and synthesize insights from advanced measurement approaches, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, A/B testing, brand lift studies, and other attribution methodologies.
• Define and maintain campaign KPIs, measurement taxonomy, benchmarks, and governance standards to support scalable and consistent reporting across products and channels.
• Translate sophisticated analyses into clear, concise, and persuasive presentations for senior leaders and cross-functional partners.
• Adapt reporting, analysis, and recommendations in response to evolving business priorities and stakeholder needs.
• Identify opportunities to improve analytics processes, measurement strategy, automation, and decision support by staying current on industry trends, emerging tools, and best practices.
• Lead multiple projects and workstreams in a fast-paced, cross-functional environment while maintaining a high standard of analytical quality and stakeholder partnership.

What You’ll Bring:

• Bachelor’s degree in a quantitative or analytical field such as Statistics, Mathematics, Engineering, Information Systems, Economics, Business Analytics, or a related discipline; Master’s degree preferred.
• 7+ years of experience in analytics, media analytics, marketing measurement, business intelligence, or attribution modeling.
• Strong knowledge of the paid media ecosystem, including channels such as TV/Video, OTT/CTV, Paid Social, Paid Search, Programmatic Display, Radio, Digital Audio, and Out-of-Home (OOH).
• Advanced proficiency in SQL, Tableau, and Python, including experience with data analysis, dashboard development, reporting automation, and performance modeling.
• Demonstrated experience with media measurement frameworks and attribution methods such as MMM, MTA, incrementality, experimentation, and A/B testing.
• Experience using AI, machine learning, and automation tools to improve analytical workflows, reporting, and insight generation, with interest in applying emerging AI capabilities to support decision-making.
• Strong technical skills in working with large datasets, data validation, data integration, and analytics workflows.
• Strong analytical and problem-solving skills, with the ability to synthesize complex data into practical business recommendations.
• Strong written, verbal, and presentation skills, with the ability to communicate technical findings clearly to both technical and non-technical audiences.
• Proven ability to influence decisions through effective storytelling, stakeholder management, and executive communication.
• Experience collaborating across cross-functional teams and building strong working relationships with business, marketing, media, finance, and technical partners.
• A continuous improvement mindset and interest in innovation across media analytics, measurement, and decision science.

Why This Role:

This is a high-impact opportunity for someone who thrives at the intersection of marketing, analytics, data, and business strategy. Success in this role depends on being equally strong in technical execution, analytical thinking, and communication. You will help shape how T-Mobile measures media effectiveness, optimizes investment, and turns analytics into business action.

#LI-Corporate

• At least 18 years of age
• Legally authorized to work in the United States

#CareersNotJobs

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, click here.

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.