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! Job Overview Become a part of our Data Analytics and Capabilities team under Media Analytics at T-Mobile! Media Analytics is a dynamic group providing vision and direction to take the Un-carrier to the next level. We thrive in providing meticulous analytics to assess and steer media spend, driving growth. We dive deep into the data with sharp discernment - understanding the drivers of performance through every stage of the funnel and influencing senior leadership on key media investment decisions. We're ready to ignite your intellectual curiosity to write the next chapter of the Un-carrier. Join us to make it happen! We are seeking a meticulous, logical, data-business-and-tech-savvy strategic problem solver with a natural curiosity to explore, understand, and command our fragmented media data ecosystems - with a focus on owned-media digital metrics to support paid media optimization, attribution and analytical projects. Our team will rely heavily on you to think on your feet and thoroughly vet how our foundational data elements are set up. The ideal candidate is a meticulous, tech-savvy, strategic problem solver with a natural curiosity to explore, understand, and command our fragmented media data ecosystems. They will think on their feet and thoroughly vet how our foundational data elements are set up, create customer-centric recommendations informed by analysis, good business insight, and partner with the business and tech partners to drive improvements in a matrixed environment through creativity and effective communication. They will lead collaborative efforts with various teams including marketing, IT, and platform teams on complex data integrations, and lead the design and development of dataset structures & interfaces. Comfortable acting as an internal data SME, they know where datasets are that will answer business questions, are adept at using various software and finding solutions. Job Responsibilities: Collaborate with internal team members and stakeholders as a SME to determine business requirements on digital metrics, combining the mindset of a business analyst, data analyst, and engineer. Advise on data availability and quality based on technical or real-life limitations, level of effort (LOE), consistency of definitions, and anticipate data utilization implications in media platforms. Partner with technology teams on implementation, troubleshooting, and quality assurance (QA). Understand communication best practices, including providing context for each requirement, consolidating information, prioritization, short-and-long-term planning, and establishing timelines. Configure platforms for metrics collection (which will involve working new and existing platforms and require exploration on configuration options that aligns with Media Analytics' goals), considering implications across teams in terms of day-to-day operations, automation, and analytical projects. Assess how metrics are configured across platforms and environments, where definitions and implications may differ due to data processing, and evaluate their impacts on projects and utilization. Manage stakeholder relationships, including internal/external teams, vendors, and agency partners. Set reasonable expectations on metrics, roles/responsibilities, and timelines. Create tools and dashboards (e.g. documentation, processes, training, visualization in web analytics tool or cross-platform data environment, etc.) for self-service while maintaining visibility on utilizat