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Leading a team of 3 analysts, the Senior Manager of Marketing Performance Analytics is responsible for delivering analysis and insights on the performance of T-Mobile Products and Channels. They will be responsible for perform deep dives on each product within the TFB portfolio – understanding sales drivers, survival rates, offer performance, and key trends with respect to the various channels where those products are sold. They will work cross-functionally with partner teams on acquisition, retention, and marketing/sales operations teams to understand what is working to drive growth, and to find opportunities for improvement. And they will work closely with Product teams and leaders across TFB, bringing quantitative product analysis forward to improve product offerings and to drive data-informed decisions.
Job Responsibility:
Set clear priorities and effectively manage a team of dedicated analysts
Ensure that analysis produced by the team is thorough and accurate, leveraging the best possible techniques for the questions posed by the business
Clearly communicate findings and insights to senior executives, sharing appropriate levels of analysis and depth for both technical and non-technical audiences
Partner with data and reporting teams, providing requirements for self-service tools and tableau dashboards that provide an early-warning system for health of the business (providing direction and prototypes)
Conduct post-mortem reviews to provide insight on the performance of new offers and promotions, including assessment of lift and other metrics that tie back to business case
Perform ad-hoc analysis on a variety of questions posed by business teams, providing dimensional cuts of variances, and explaining recent trends across products and channels
Provide weekly insights to executive leadership, showcasing recent product analysis that can be used to steer business performance
Deepen integration with business partners, delivering analysis and recommendations that drive significant enterprise value creation
Requirements:
5+ years of demonstrated experience leading a high performing analytical team
Solid understanding of analytical methodologies, including time-series analysis, statistical modeling (hypothesis testing, causal modeling, data mining), and optimization
Excellent communication skills and executive presence – able to produce consulting-quality PowerPoint presentations with exacting standards
Proficient with large databases and big data, with working knowledge of tools/platforms/schemas
Knowledge of tools: SQL, R, Excel, Tableau, PowerPoint
Strong intuition and business judgment – able to balance theoretical vs. practical
MBA, or Advanced degree in Science, Engineering, Applied Mathematics or related quantitative field strongly preferred
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