About The Position

T-Mobile is seeking a curious, data-savvy, and strategic problem solver to join its Media Analytics team as Senior Business Analysis Manager, supporting Mint Mobile. The team applies analytics to guide and optimize paid media investments across T-Mobile brands and products. Its work includes media measurement, scenario planning, Media Mix Modeling, Test & Learn experimentation, in-platform attribution, and forecasting, with insights that inform leadership decisions on media strategy and investment. This role connects data, analytics, business strategy, and media. The successful candidate will lead analyses that link media investment to business outcomes and develop recommendations for marketing and business leaders. The role requires technical depth, business judgment, and strong communication, as well as collaboration with marketing partners to interpret findings and determine appropriate actions. Focus areas may include measurement, forecasting, scenario planning, or insights delivery. The position is based in Bellevue, Washington, with a hybrid schedule requiring three days on-site. Travel is not required.

Requirements

  • Bachelor’s degree in a quantitative field and at least 7 years of experience, or a master’s degree and at least 5 years of experience.
  • At least 7 years of experience in analytics, marketing or media measurement, forecasting, or business intelligence.
  • Exceptional communication and storytelling skills, including the ability to explain complex analytics to non-technical marketing partners and influence senior collaborators through written, verbal, and visual communication.
  • Solid grounding in statistics and causal inference, with working knowledge of Media Mix Modeling, experimentation, attribution, or forecasting and the ability to interpret results and limitations.
  • Advanced proficiency in SQL and Python, with experience in cloud data environments such as Databricks and workflow automation, including AI-assisted coding and analysis.
  • Track record of turning analysis into decisions and connecting media performance to outcomes such as activations, revenue, and customer value.
  • Understanding of the paid media ecosystem, including Search, Social, Display, Video, OTT, TV, Audio, and OOH, as well as AdTech platforms and how media is planned, bought, and measured.
  • At least 18 years of age.
  • Legally authorized to work in the United States.

Nice To Haves

  • Experience with data visualization tools such as Tableau or Power BI.
  • Experience with AI-enabled analytics methods to produce decision-ready outputs quickly.
  • Strong interpersonal skills and 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.
  • Growth mindset and curiosity about new media measurement tools, methods, and technologies and how they can inform business decisions.

Responsibilities

  • Lead analytical initiatives evaluating and optimizing paid media performance across channels, producing insights to guide campaign strategy, investment efficiency, and business outcomes.
  • Own end-to-end analytical workflows, from sourcing and validating media, conversion, and customer data using SQL, Python, and Databricks through delivering recommendations to senior leaders.
  • Apply and interpret measurement methods, including Media Mix Modeling, experimentation, in-platform attribution, and forecasting, selecting the appropriate method for the decision at hand.
  • Support forecasting and scenario planning to quantify expected activations and traffic and assess how paid media can help close gaps to business targets.
  • Partner with marketing and media collaborators to define business questions, agree on success metrics, and shape analytical approaches.
  • Translate analytical findings into clear narratives and recommendations for non-technical audiences, explaining results, confidence levels, and next steps.
  • Use AI and GenAI tools to automate recurring reporting, accelerate insight generation, and support natural-language self-service views of media performance.
  • Manage multiple workstreams and shifting priorities, adapting analyses and reporting as business needs evolve.
  • Stay current on media platforms, measurement methods, and industry trends, and bring new ideas to the team.

Benefits

  • Competitive base salary and compensation package.
  • Annual stock grant and employee stock purchase plan.
  • 401(k) and access to free, year-round money coaches.
  • Annual bonus or periodic sales incentive or bonus, depending on role and eligibility.
  • 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, and childcare subsidy.
  • Tuition assistance and college coaching.
  • Short- and long-term disability coverage.
  • Voluntary AD&D, accident, life, disability, and long-term care coverage.
  • Mobile service and home internet discounts for eligible employees.
  • Pet insurance for eligible employees.
  • Commuter and transit programs for eligible employees.
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