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Join T-Mobile’s Media Analytics team and help lead the transformation of marketing measurement through data-driven insights! As a Business Analysis Manager – Media Analytics & Attribution, you’ll play a key role in evaluating paid media performance, optimizing investment strategies, and guiding business decisions with clear, actionable analytics. In this role, you will develop and lead analytical solutions that quantify marketing effectiveness, improve attribution accuracy, and uncover growth opportunities. You’ll partner closely with cross-functional teams—including Marketing, Finance, and Data Science—to shape the media strategy and ensure that T-Mobile’s paid media campaigns deliver maximum return on investment.
Job Responsibility:
Use forecasting models to project key business outcomes such as activations, retail traffic, and digital traffic, supporting strategic media planning and performance assessment
Lead initiatives to make data AI-ready by ensuring high data quality, standardized metrics, scalable data models, and well-documented pipelines that enable advanced analytics, machine learning, and AI-driven decisioning
Translate complex analytical outputs from forecasting and other statistical models into clear, actionable insights for marketing and media partners
Collaborate with cross-functional teams — including marketing, media agencies, and analytics partners — to align on critical metrics and ensure forecasts meet business needs
Work with large datasets to extract relevant performance metrics, validate data quality, and prepare inputs for reporting and forecasting
Develop and maintain reporting structures and dashboards to track key business performance metrics. Create clear and impactful visualizations (e.g., using Tableau, Power BI) for both internal team members and leadership
Support the integration of new datasets and insights into ongoing media planning and measurement workstreams
Stay informed on evolving media measurement tools, MarTech and AdTech platforms, and contribute to the team’s broader analytics capabilities
Requirements:
Bachelor’s degree or equivalent experience in a quantitative field (e.g., Statistics, Mathematics, Engineering, Information Systems)
5+ years of experience in analytics, marketing/media measurement, or business intelligence
Strong experience in SQL for analyzing complex datasets
Proficiency in data visualization tools such as Tableau or Power BI
Experience with advanced analytical techniques and financial modeling
Strong ability to take on complex business problems and offer innovative solutions
At least 18 years of age
Legally authorized to work in the United States
Nice to have:
Familiarity with programming languages such as Python or R