Sr Business Analysis Manager - Media Analytics, Mint Mobile

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 business 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.
• Translate 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 business needs evolve.
• Stay current on media platforms, measurement methods, and industry trends, and bring new ideas to the team.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Information Systems) is 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 MMM, 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.
• Experience with data visualization tools (e.g., Tableau, Power BI) and AI-enabled analytics methods to produce decision-ready outputs 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.

Preferred

• Knowledge, Skills, and Abilities: Experience with data visualization tools (e.g., Tableau, Power BI) and AI-enabled analytics methods to produce decision-ready outputs 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.

Benefits

• Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
• As part of the T-Mobile team, we offer 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. We also offer mobile service & home internet discounts, pet insurance, and access to commuter and transit programs.