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T-Mobile USA, Inc Sr Business Analysis Managers in Bellevue, Washington

Career Band: L07 Be unstoppable with us! T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop! Position summary T-Mobile is America's supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Sr. Business Analysis Managers located in Bellevue, WA will analyze internal and external systems, data integration pipelines, and media measurement tools capabilities and features. Position duties and responsibilities include, but are not limited to: Present and educate peers, internal clients, media agencies and other stakeholders. Manipulate large amounts of data and extract key insights from the data using SQL and other statistical/analytical programming languages; work directly with databases, spreadsheets, and models; utilize visualization tools like Tableau, PowerBI and ThinkCell to create views delivering analytical insights to the audience. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. Utilize data preparation tools include Microsoft SQL Server, Snowflake, Teradata, and Alteryx. Evaluate sources of information including prototype ingestion, aggregation, and views of new data; collaborate and align with partners on what are the most useful views for actionable insights. Develop understanding of media attribution model inputs, outputs, and mechanics to interpret and qc media measurement model results. Develop stress test media measurement model assumptions and results; examine results and find meaningful insights. Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. Discuss and develop business outcome metrics and key performance indicators (KPIs) for media efficiency to track media channel performance changes, evaluate success of strategic decision making, and assess efficiency of media buying groups and agencies. Perform variance analysis to study the deviations of actual performance versus budgeted or modeled performance. Develop approaches to adapt available models and statistical tools to solve specific problems. - Continually improve existing analytical solutions and capabilities. Work with engineering and data science teams to implement and improve machine learning (ML) pipelines and production-ready models. Create views using charts, bullets, tables, and graphs and formulate storylines to provide actionable recommendations to partners. Communicate insights with a purpose of increasing enterprise value by improving efficiency of media spend. Cultivate collaborative and positive cross-functional relationships with marketing teams, media agencies, advertising partners, and measurement/analytical vendors. Understand internal and external systems, data integration pipelines, and measurement tools capabilities and features. Work directly with databases, spreadsheets, models, and visualization tools. Prototype ingestion, aggregation, and views of new data; collaborate and align with partners on what are the most useful views for actionable insights. Develop understanding of attribution model inputs, outputs, and mechanics to interpret and qc model results. Discuss and develop business outcome metrics. Question results and find meaningful insights. Create views and formulate storyl

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