About The Position

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! This is not a remote role, this is a hybrid role requiring 3 days a week in office. The successful candidate for this position must be located in Bellevue, WA Leading a team of 3 analysts, the Senior Manager of TFB Revenue Analytics is responsible for delivering analysis and insights on the performance of T-Mobile for Business products and channels, with a focus on revenue growth across the TFB base. They will be responsible for performing deep dives on each product within the TFB portfolio – understanding sales drivers, inflows and outflows, survival rates, offer performance, base rate plan migrations, 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 revenue performance, and to find opportunities for improvement. And they will work closely with Product teams and leaders across TFB, bringing quantitative product and revenue analysis forward to improve product offerings and to drive data-informed decisions. The successful candidate will communicate with senior executives and business team counterparts, providing explanations for how products and channels are performing relative to weekly, monthly, quarterly, and annual revenue commitments. This includes delivering commentary on the performance of recent offers and launches, providing a clear perspective on the volume of incremental vs. intrinsic activity being driven by T-Mobile promotions, assessing variances from business case expectations, and understanding how performance trends roll forward into future-facing revenue forecasts. Additionally, they will be responsible for maintaining meticulous analytical standards, ensuring the quality of outputs for the team, and for proactively delivering ideas that materially impact T-Mobile’s top and bottom lines. This leader will work cross-functionally with business partners and data teams to maintain and deliver against a queue of revenue-focused analytical requests. They will manage the resources of the team, clearly communicating the roadmap and ETA for deliverables, and establishing prioritizations based on potential impact to the business.

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
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice To Haves

  • MBA, or Advanced degree in Science, Engineering, Applied Mathematics or related quantitative field strongly preferred

Responsibilities

  • 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

Benefits

  • 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
  • voluntary long-term care insurance
  • mobile service & home internet discounts
  • pet insurance
  • access to commuter and transit programs
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