This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
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
Conduct ongoing research on industry trends and media to support business intelligence activities
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 TAds inventory value
Develop and refine yield management workflows
document analysis outcomes, troubleshooting protocols, and operational best practices to support scalable revenue growth across O&O and third-party platforms
Requirements:
Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent
Acceptable areas of study include Business, Statistics, Economics, Marketing or related field
Prefer 2+ years experience related to business intelligence
Experience in conducting and communicating data-driven analyses
proven experience with quantitative and qualitative analysis and report writing
Intermediate technical skills (DataViz
SQL
automation
report/metric design
algorithms/modeling)
Intermediate analytical skills including problem solving and critical reasoning