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Media Analytics is a team of visionaries and problem solvers who apply rigorous analytics to guide and optimize T-Mobile’s enterprise paid media investments. We combine deep data fluency with strong business acumen 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. This role sits within the Data Analytics (Analytics, Stewardship, Capabilities) team, part of Media Analytics. We are seeking an observant, meticulous, and technically fluent problem solver who thrives at the intersection of data, media operations, and technology. The focus of this role is Platform Management – supporting paid media optimization, attribution, and analytical initiatives through day-to-day platform operations, data asset management, and related technical integrations and projects.
Job Responsibility:
Own daily platform operations across multiple paid media platforms – supporting metric setup, data asset management, and data readiness in collaboration with Media Operations, Media Analytics, and external partners
Translate across teams, platforms, and functions, aligning business needs, data logic, and technical implementation
Monitor and maintain data health, validating feeds, audience sizes, and metric volumes for accuracy and consistency
Troubleshoot and resolve issues related to data capture, ingestion, and configuration, documenting findings and resolutions
Partner with Campaign Ops, Media, and Analytics teams to improve processes and ensure systems support campaign activation and measurement
Advise as a subject matter expert (SME) on audience and conversion data requirements, balancing data quality, feasibility, and business priorities
Manage stakeholder relationships, clarify ownership, and maintain documentation to ensure smooth collaboration and operational continuity
Configure and optimize platforms for data capture and interoperability, evaluating implications for operations, automation, and analytics
Partner with Technology and Development teams on implementation, troubleshooting, and QA—providing clear context, requirements, and priorities for both immediate and long-term initiatives
Define, test, and validate integrations (e.g., pixels, tracking parameters, CRM-to-media connections) to ensure accurate data collection and activation workflows
Perform QA and exploratory data analysis using SQL or similar tools to confirm data quality, integrity, and successful data transfers
Champion governance, privacy, and compliance, ensuring all configurations and data exchanges adhere to stewardship and ethical standards
Adopt a “trust but verify” mindset, validating assumptions and communicating results transparently across teams
Contribute to future capability design, partnering on integration or enhancement projects and proposing scalable, future-proof solutions
Stay informed of evolving MarTech and AdTech capabilities, assessing opportunities to improve automation, data flow, and usability
Perform other duties or projects as assigned, maintaining alignment with leadership direction and proactively seeking guidance when needed
Requirements:
Bachelor’s degree required in a quantitative field such as Engineering, Science, Mathematics, or Information Systems
5–8 years of experience in marketing operations, data analytics, or platform management, with emphasis on day-to-day platform support and campaign enablement
Hands-on experience in CRM and Media operations, ideally covering both paid digital media (Display, Video, Social, Search, OTT) and customer communication channels (Email, SMS, Direct Mail)
Proven ability to partner with developers and IT teams to define, test, and implement data or platform integrations
Experience with QA processes, including writing and executing test cases for configuration or data validation
Working familiarity with data structures and front-end web technologies (HTML, CSS, JavaScript) for tagging and data capture
Proficient in SQL and Excel for data validation, troubleshooting, and quality checks
Awareness of data engineering and business intelligence workflows
At least 18 years of age
Legally authorized to work in the United States
Nice to have:
A Master's degree or PhD is a plus
Demonstrated curiosity and continuous learning mindset in evolving MarTech/AdTech ecosystems