T-MOBILE USA, Inc.
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The Analyst, BI Manager is responsible for proactively driving monetization strategy, yield optimization, and operational excellence across T-Mobile's owned and operated (O&O) and third-party advertising inventory.
This role blends expertise in advertising technology, business intelligence, and revenue management to maximize performance and unlock new revenue opportunities.
The manager will take a hands-on, forward-looking approach to daily revenue trend monitoring, initial troubleshooting, and cross-functional data standups with internal teams and external demand partners, identifying risks and opportunities before they impact results. In addition, this role will oversee the creation of dashboards, pricing models, and inventory health strategies to support T-Mobile's continued growth as a premier advertising platform. Success in this position requires strong analytical skills, proactive problem-solving, strategic thinking, excellent communication, and deep fluency in the AdTech ecosystem.
Main Responsibilities:
Support analytic needs by utilizing data from ad servers, SSPs, and demand partners. Guide AdTech and BI data strategies across mobile apps, web, and programmatic platforms. Lead day-to-day troubleshooting efforts related to revenue discrepancies, fill issues, and auction health. Create holistic dashboards from different data sources, presenting metrics such as revenue yield, eCPM, fill rates, floor pricing, win rates, and audience monetization to leadership. Lead daily/weekly data standups with internal stakeholders and external demand partners to review revenue trends, surface test impacts, and document operational insights. Build pricing models for O&O (owned and operated) and third-party inventory. Design and implement SSP experiments to maximize yield, revenue, and inventory health, including floor price testing and demand partner optimizations. Own the process of driving yield and operational insights from inventory and customer behavior data, partnering with Product and AdOps teams on A/B and multivariate tests to optimize monetization strategies. Present AdTech yield analysis, strategic insights, and monetization recommendations to senior executives through dynamic dashboards, detailed reports, and executive summaries. Conduct competitive analysis on advertising market trends, supply-side monetization strategies, and partner performance to optimize T-Ads inventory value. Develop and refine yield management workflows; document analysis outcomes, troubleshooting protocols, and best operational practices to support scalable revenue growth across O&O and third-party platforms. Education:
Bachelor's Degree required in Business, Statistics, or a similar field Skills:
2 years of Experience with advertising technology environment focusing on digital media inventory analysis 2 years of Experience with business intelligence tools (e.g., Business Objects, Cognos, Hyperion, etc.). 2 years of Experience in reporting & analyzing performance & data visualization (Tableau; PowerBI) 2 years of Experience in advanced analytics, which include SQL/ETL of complex datasets, competitive analysis, quantitative analysis & research. At least 18 years of age Legally authorized to work in the United States Travel : Travel Required (Yes/No) DOT Regulated : DOT Regulated Position (Yes/No): No, Safety Sensitive Position (Yes/No): No Base Pay Range: $66,900 - $120,600, Corporate Bonus Target: 10% T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500.
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Support analytic needs by utilizing data from ad servers, SSPs, and demand partners. Guide AdTech and BI data strategies across mobile apps, web, and programmatic platforms. Lead day-to-day troubleshooting efforts related to revenue discrepancies, fill issues, and auction health. Create holistic dashboards from different data sources, presenting metrics such as revenue yield, eCPM, fill rates, floor pricing, win rates, and audience monetization to leadership. Lead daily/weekly data standups with internal stakeholders and external demand partners to review revenue trends, surface test impacts, and document operational insights. Build pricing models for O&O (owned and operated) and third-party inventory. Design and implement SSP experiments to maximize yield, revenue, and inventory health, including floor price testing and demand partner optimizations. Own the process of driving yield and operational insights from inventory and customer behavior data, partnering with Product and AdOps teams on A/B and multivariate tests to optimize monetization strategies. Present AdTech yield analysis, strategic insights, and monetization recommendations to senior executives through dynamic dashboards, detailed reports, and executive summaries. Conduct competitive analysis on advertising market trends, supply-side monetization strategies, and partner performance to optimize T-Ads inventory value. Develop and refine yield management workflows; document analysis outcomes, troubleshooting protocols, and best operational practices to support scalable revenue growth across O&O and third-party platforms. Education:
Bachelor's Degree required in Business, Statistics, or a similar field Skills:
2 years of Experience with advertising technology environment focusing on digital media inventory analysis 2 years of Experience with business intelligence tools (e.g., Business Objects, Cognos, Hyperion, etc.). 2 years of Experience in reporting & analyzing performance & data visualization (Tableau; PowerBI) 2 years of Experience in advanced analytics, which include SQL/ETL of complex datasets, competitive analysis, quantitative analysis & research. At least 18 years of age Legally authorized to work in the United States Travel : Travel Required (Yes/No) DOT Regulated : DOT Regulated Position (Yes/No): No, Safety Sensitive Position (Yes/No): No Base Pay Range: $66,900 - $120,600, Corporate Bonus Target: 10% T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500.
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