Sr Business Analysis Manager - Media Analytics, Mint Mobile

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! About the Team; Media Analytics is a team of visionaries and problem solvers who apply rigorous analytics to guide and optimize paid media investments across the T-Mobile enterprise, including our flagship T-Mobile brand, Metro by T-Mobile, Home Internet, T-Mobile for Business, Mint Mobile, and emerging products. We own media measurement, scenario planning, and the analytics that drive media decisions. Our work spans Media Mix Modeling, Test & Learn experimentation (geo-lift, A/B testing), in-platform attribution, and forecasting, and our insights directly influence leadership decisions on media strategy and investments. Join us to unleash your intellectual curiosity and help shape the future of the Un-carrier’s media strategy! The Role We are seeking a curious, data-savvy, and strategic problem solver to join our team as Senior Business Analysis Manager, Media Analytics. This role sits at the intersection of data, analytics, business strategy, and media. You will lead analyses that connect media investment to business outcomes and turn them into recommendations that marketing and business leaders can act on. Success in this role takes technical depth and business judgment, paired with strong communication. You will regularly work with marketing partners across the enterprise to explain what the data show, how to interpret findings, and what actions to take. Specific focus areas vary by opening and may include measurement, forecasting, scenario planning, or insights delivery to collaborators. Location: Bellevue, WA (Hybrid, 3 Days On-Site) Job Responsibilities: • Lead analytical initiatives that evaluate and optimize paid media performance across channels, producing insights that advise campaign strategy, investment efficiency, and business outcomes. • Own end-to-end analytical workflows, from sourci ng and validating media, conversion, and customer data in SQL, Python, and Databricks to delivering recommendations to senior leaders. • Apply and interpret core measurement methods (MMM, experimentation, in-platform attribution, forecasting), and know which fits the decision at hand. • Support forecasting and scenario planning that quantify expected activations and traffic and assess how paid media can help close gaps to busi ness targets. • Act as the trusted analytics partner to marketing and media collaborators, working with them to define the business question, agree on success metrics, and shape the right analytical approach. • Tr anslate analytical findings into clear narratives and recommendations for non-technical audiences, explaining what the data show, how confident we are, and what to do next. • Use AI and GenAI tools to automate recurring reporting, accelerate insight generation, and support the delivery of natural-language, self-service views of media performance. • Manage multiple workstreams and shifting priorities, adjusting analyses and reporting as b usiness needs evolve. • Stay current on media platforms, measurement methods, and industry trends, and bring new ideas to the team. Education and Work Experience : : • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Information Systems)i s a requirement, plus at least 7 years of experience OR Master’s degree, plus 5 years of experience. • 7+ years of experience in analytics, marketing or media measurement, forecasting, or business intelligence. • Communication: exceptional communication and storytelling skills, with proven ability to explain complex analytics to non-technical marketing partners and influence senior collaborators through clear written, verbal, and visual communication. • Analytical strength : solid grounding in statistics and causal inference, with working knowledge of M MM, experimentation, attribution, or forecasting methods and the ability to interpret results and their limitations. • Data fluency: advanced proficiency in SQL and Python, with experience working in cloud data environments such as Databricks and automating workflows, including AI-assisted coding and analysis. • Business application intuition: a track record of turning analysis into decisions, tying media performance to business outcomes such as activations, revenue, and customer value, and prioritizing the questions that matter most. • Media knowledge: understanding of the paid media ecosystem (e.g., Search, Social, Display, Video, OTT, TV, Audio, OOH) and AdTech platforms, and how media is planned, bought, and measured. Knowledge, Skills, and Abilities : • Experience with data visualization tools (e.g., Tableau, Power BI) and AI-enabled analytics methods to produce decision-ready ou tputs quickly. • Strong interpersonal skills and the ability to build relationships and influence across cross-functional teams. • Ability to manage multiple priorities in a fast-paced, collaborative environment with exceptional attention to detail. • A growth mindset and curiosity about new media measurement tools, methods, and technologies, and how they can inform business decisions. • At least 18 years of age • Legally authorized to work in the United States Travel : Travel Required (Yes/No):No DOT Regulated : DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Total Target Cash Earnings Opportunity: $116,040 - $209,280 National Base Pay Range: $96,700 - $174,400 The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual