Senior Business Analysis Manager, Media Analytics (PII data & integrations)

Job Opportunity At T-Mobile

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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 datafocusing on PII availability, identity resolution, ingestion latency, and data processingto 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 limitationsbalancing LOE, technical feasibility, and business needswhile 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 environmentsaccounting for differences in definitions or processingand 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 governancebalancing 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 :

Knowledge, Skills and Abilities :

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, visit https : / / paylookup.t-mobile.com / paylookup?reqID=REQ308177¶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