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Business Intelligence Analyst
T-MobileBusiness Intelligence Analyst at T-Mobile blending AdTech expertise to drive monetization strategy and operational excellence across advertising inventory. Collaborating with internal and external teams to optimize revenue opportunities.
Posted 6/10/2026full-timeBellevue • Maryland, New York, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $66,900 - $120,600 per yearWebsite
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Proactively drive monetization strategy, yield optimization, and operational excellence across T-Mobile’s owned and operated (O&O) and third-party advertising inventory.
- Blend expertise in advertising technology, business intelligence, and revenue management to maximize performance and unlock new revenue opportunities.
- Take a hands-on, forward-looking approach to daily revenue trend monitoring, initial troubleshooting, and cross-functional data standups.
- Identify risks and opportunities before they impact results.
- Oversee the creation of dashboards, pricing models, and inventory health strategies to support T-Mobile’s continued growth as a premier advertising platform.
- 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 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.
Requirements
What you’ll need- 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 (Preferred).
- Prefer 2+ years experience related to business intelligence (Preferred)
- Experience in conducting and communicating data-driven analyses; proven experience with quantitative and qualitative analysis and report writing (Preferred)
- Intermediate technical skills (DataViz; SQL; automation; report/metric design; algorithms/modeling).
- Intermediate analytical skills including problem solving and critical reasoning.
- Experience communicating/consulting; influencing; relationship management.
- Functional knowledge of Telecom; Supply Chain; Network Technology; Procurement.
- At least 18 years of age.
- Legally authorized to work in the United States.
Benefits
Comp & perks- Employees enjoy multiple wealth-building opportunities through our annual stock grant,
- Employee stock purchase plan,
- 401(k),
- Access to free, year-round money coaches,
- Medical, dental and vision insurance,
- Flexible spending account,
- Paid time off and up to 12 paid holidays,
- Paid parental and family leave,
- Family building benefits,
- Back-up care,
- Enhanced family support,
- Childcare subsidy,
- Tuition assistance,
- College coaching,
- Short- and long-term disability,
- Voluntary AD&D coverage,
- Voluntary accident coverage,
- Voluntary life insurance,
- Voluntary disability insurance,
- Voluntary long-term care insurance,
- Mobile service & home internet discounts,
- Access to commuter and transit programs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
business intelligencedata analysisSQLreport writingdata visualizationautomationpricing modelsrevenue managementad technologyprogrammatic platforms
Soft Skills
problem solvingcritical reasoningcommunicationinfluencingrelationship managementdata-driven analysisoperational insightstroubleshootingcollaborationleadership