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