At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!
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:
Bachelors Degree required in Business, Statistics or similar field
Skills:
2 years Experience with advertising technology environment focusing on digital media inventory analysis
2 years Experience with business intelligence tools (e.g. Business Objects, Cognos, Hyperion, etc.).
2 years Experience in reporting & analyzing performance & data visualization (Tableau; PowerBI)
2 years 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:
CLZUU DOMUU SK111 SK222 SK333 SK444 SK555 SK666
