Business Analysis Manager, Media Analytics and Attribution

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Join T-Mobile’s Media Analytics team and help lead the transformation of marketing measurement through data-driven insights! As a Business Analysis Manager – Media Analytics & Attribution, you’ll play a key role in evaluating paid media performance, optimizing investment strategies, and guiding business decisions with clear, actionable analytics.

In this role, you will develop and lead analytical solutions that quantify marketing effectiveness, improve attribution accuracy, and uncover growth opportunities. You’ll partner closely with cross-functional teams—including Marketing, Finance, and Data Science—to shape the media strategy and ensure that T-Mobile’s paid media campaigns deliver maximum return on investment.

This position is located at our Bellevue, WA HQ and offers a hybrid schedule of a minimum 3 days a week in office!

Job Responsibilities:

• Use forecasting models to project key business outcomes such as activations, retail traffic, and digital traffic, supporting strategic media planning and performance assessment.

• Lead initiatives to make data AI-ready by ensuring high data quality, standardized metrics, scalable data models, and well-documented pipelines that enable advanced analytics, machine learning, and AI-driven decisioning.

• Translate complex analytical outputs from forecasting and other statistical models into clear, actionable insights for marketing and media partners.

• Collaborate with cross-functional teams — including marketing, media agencies, and analytics partners — to align on critical metrics and ensure forecasts meet business needs.

• Work with large datasets to extract relevant performance metrics, validate data quality, and prepare inputs for reporting and forecasting.

• Develop and maintain reporting structures and dashboards to track key business performance metrics. Create clear and impactful visualizations (e.g., using Tableau, Power BI) for both internal team members and leadership.

• Support the integration of new datasets and insights into ongoing media planning and measurement workstreams.

• Stay informed on evolving media measurement tools, MarTech and AdTech platforms, and contribute to the team’s broader analytics capabilities.

Education:

• Bachelor’s degree or equivalent experience in a quantitative field (e.g., Statistics, Mathematics, Engineering, Information Systems)

Work Experience:

• 5+ years of experience in analytics, marketing/media measurement, or business intelligence.

Knowledge, Skills and Abilities

• Strong experience in SQL for analyzing complex datasets (Required).

• Proficiency in data visualization tools such as Tableau or Power BI (Required).

• Experience with advanced analytical techniques and financial modeling (Required).

• Strong ability to take on complex business problems and offer innovative solutions (Required).

• Familiarity with programming languages such as Python or R (Preferred).

• At least 18 years of age
• Legally authorized to work in the United States



 

Base Pay Range: $77,900 - $140,500

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ347086&paradox=1

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