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T-Mobile

Business Intelligence Analyst

T-Mobile

Business 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 & technologies
SQL

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

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Applicant Tracking System Keywords

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Hard Skills & Tools
business intelligencedata analysisSQLreport writingdata visualizationautomationpricing modelsrevenue managementad technologyprogrammatic platforms
Soft Skills
problem solvingcritical reasoningcommunicationinfluencingrelationship managementdata-driven analysisoperational insightstroubleshootingcollaborationleadership