Business Analysis Manager, Media Analytics and Attribution

T-Mobile • Bellevue, WA

16d • Hybrid

About The Position

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! 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!

Requirements

• Bachelor’s degree or equivalent experience in a quantitative field (e.g., Statistics, Mathematics, Engineering, Information Systems)
• 5+ years of experience in analytics, marketing/media measurement, or business intelligence.
• 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).
• At least 18 years of age
• Legally authorized to work in the United States

Nice To Haves

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

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.

Benefits

• 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.
• Employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role.
• Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance.
• eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level