Senior Business Analysis Manager, Media Analytics – PII Data & Integrations

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!

Media Analytics is a team of visionaries and problem solvers who apply detailed analytics to guide and optimize T-Mobile’s enterprise paid media investments. We combine deep data fluency with strong business insight to uncover the drivers of performance across the entire media funnel. Our insights directly influence leadership decisions on media strategy and spend. Join us to unleash your intellectual curiosity and help shape the future of the Un-carrier’s media strategy.

The Role
This role is under the Data Analytics and Capabilities team that is part of Media Analytics.
We are seeking a meticulous, logical, data-business-and-tech-savvy strategic problem solver with a curiosity to explore, understand, and command our fragmented data ecosystems – with a focus on PII-based data assets for Audiences and Omni-channel conversions to support paid media optimization, attribution and analytical projects. This position requires thorough vetting of how foundational data elements are set up. Your expertise in PII-based data, audience strategy, and conversion tracking will drive impactful decisions across paid media, CRM, and analytics teams.
This role demands a rare combination of technical skill, data storytelling, and the ability to partner with both engineers and marketers. You’ll help shape our audience infrastructure, influence platform configurations, and contribute to governance frameworks that ensure data readiness and consistency.

***This position must be located in Bellevue, WA. This is a hybrid schedule requiring at least 3 days a week in office.

What You’ll Do

• Analyze internal 1st and 3rd party data—focusing on PII availability, identity resolution, ingestion latency, and data processing—to surface potential limitations or biases in use case support.
• Evaluate data attributes (e.g., demographics, customer data, etc.) by source and collaborate with CRM and analytics teams to align on usage patterns, strategies, and insights.
• Collaborate with internal teams and stakeholders as a SME to define business requirements for audience and conversion data, combining the mentality of a business analyst, data analyst, and engineer to ensure alignment on definitions and capabilities.
• Advise on data availability, quality, and limitations—balancing LOE, technical feasibility, and business needs—while anticipating downstream impacts on media platform usage.
• Partner with technology teams on implementation, QA, and troubleshooting; clearly communicate requirements, prioritize needs, and align short- and long-term planning.
• Configure new and existing platforms for data capture, considering automation, day-to-day operations, and cross-team analytical initiatives.
• Assess how data assets are configured across platforms and environments—accounting for differences in definitions or processing—and evaluate their impact on project execution and data utilization.
• Manage stakeholder relationships across internal teams, vendors, and agency partners. Set clear expectations around data assets, roles and responsibilities, and delivery timelines.
• Develop self-service tools and dashboards (documentation, processes, training, visualization in web analytics tool or cross-platform data environment, etc.) while leading troubleshooting, guiding adoption, assessing impact, and ensuring governance—balancing support with multi-functional collaboration.
• Adopt a "trust but verify" mindset and enable others to do the same by being ready to “show your work” and how certain conclusions or recommendations are formed
• Maintain data health, readiness and quality, balancing business and technical considerations to determine what is good enough (by use case) versus what needs to be addressed; determine business impact and next steps
• Responsible for other duties/projects as assigned by management. Ensure alignment with the manager's approach and direction, seek guidance and input. Be a creative problem solver to develop future-proof solutions to fill capability gaps, and be sensitive to privacy, compliance, and governance practices.

What You’ll Bring

Education: 

• Bachelor’s degree required in a quantitative field such as engineering, science, mathematics, or information systems. A Master's degree or PhD is a plus.

Work Experience: