Sr Business Analysis Manager - Media Analytics, Mint Mobile

T-Mobile•Bellevue, WA
•$96,700 - $174,400•Hybrid

About The Position

The Senior Business Analysis Manager, Media Analytics, leads analyses connecting paid media investment to business outcomes and turns findings into actionable recommendations for marketing and business leaders. The role sits at the intersection of data, analytics, business strategy, and media, with focus areas that may include measurement, forecasting, scenario planning, or insight delivery. The position evaluates and optimizes paid media performance across channels and owns analytical workflows from sourcing and validating media, conversion, and customer data through communicating recommendations to senior leaders. It applies measurement methods such as media mix modeling, experimentation, in-platform attribution, and forecasting, and supports scenario planning that estimates activations and traffic against business targets. The role partners with marketing collaborators to define business questions and success metrics, explains findings and their limitations to non-technical audiences, and uses AI and GenAI tools to automate reporting and accelerate insights. The position is based in Bellevue, Washington, with a hybrid schedule requiring three days on-site.

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 explaining complex analytics to non-technical marketing partners and influencing senior collaborators through written, verbal, and visual communication.
  • Grounding in statistics and causal inference, working knowledge of media mix modeling, experimentation, attribution, or forecasting, and ability to interpret results and limitations.
  • Advanced proficiency in SQL and Python, experience in cloud data environments such as Databricks, and experience automating workflows, 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 channels such as Search, Social, Display, Video, OTT, TV, Audio, and OOH, and 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 and 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 inform 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 to delivering recommendations to senior leaders.
  • Apply and interpret measurement methods, including media mix modeling, experimentation, in-platform attribution, and forecasting, selecting methods appropriate to the decision.
  • 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, including explanations of findings, confidence, and next steps.
  • Use AI and GenAI tools to automate recurring reporting, accelerate insight generation, and support natural-language, self-service media performance views.
  • 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, including annual incentive opportunity.
  • Annual stock grant and 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, and childcare subsidy.
  • Tuition assistance and college coaching.
  • Short- and long-term disability coverage, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance.
  • 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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