Sr Mgr, Marketing Program Analytics & Unit Economics

Overview

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. Employees enjoy wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches.

This role is for a Senior Manager, Marketing Program Analytics to lead a team focused on measuring the business impact of marketing programs that offer customers benefits beyond core wireless connectivity (examples include Netflix on Us, Magenta Status, in-flight WiFi and more). The role favors those who are highly analytical and comfortable with ambiguity, capable of deriving insights from real-world data where test and control must often be inferred.

The person will lead by example and coach junior members through bottoms-up data exploration, financial modeling, customer research and fact-based business recommendations. 7+ years of relevant experience in quantitative analysis and a track record of presenting findings to inform and influence partners including Senior Leadership (SVPs/C-levels) are required.

This role is available at our Bellevue, WA HQ. T-Mobile offers three days a week in office.

• Lead and coach junior members to solve strategic problems that drive go-to-market actions through bottoms-up data exploration, modeling, and sound fact-based business judgment. Identify value-enhancing opportunities and key economic drivers through testing hypotheses using rigorous data-driven approaches, financial models, real options and sensitivity analysis.
• Develop proficiency in decision support analytics. Examples include: extract, prepare and model large, complex data sets using skills in mathematics, statistics, and programming languages such as SQL, Python, and R; monitor changes in new program launches and promotions, and create a detailed quarterly promo calendar by writing Python and other text extraction codes.
• Lead data quality assurance and collaborate with the data support team to ensure high-quality data for analytical purposes. Ability to write complex SQL to link and validate large data sets across all lines of business.
• Construct executive-level presentations (SVP and C-level) on complex analytical findings in a clear, concise, decision-impacting manner. Influence leadership through fact-based analysis to drive positive business outcomes.
• Work cross-functionally with Marketing, Finance, Sales and Operations, Supply Chain, and with external strategic partners to evaluate service and device pricing, product portfolio optimization, customer behavioral modeling, special offer impact analysis, and distribution channel strategy. Develop prototypes to solve challenging and new business problems and ensure enterprise value maximization.

• A Master’s degree in a quantitative field (Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or Physics) is required. A Ph.D. is preferred.
• Candidates with a Ph.D. should have 4-7 years of relevant industry experience in areas such as investment banking, management consulting, financial modeling, decision support, or corporate strategy, with equivalent experience using data scripting languages like SQL, Python, or R.
• Candidates without a Ph.D. are expected to have 7-10 years of industry experience in the same domains, with advanced proficiency in SQL, Python, or R.

• Calculus, linear algebra, statistics, and probability (Required).
• Proficiency in Python and SQL for data manipulation and scripting; ability to build financial models for complex business problems involving real options, financial uncertainties and economic driver analysis.
• Strong communication skills and demonstrated ability to provide decision support and build presentation materials for SVP/C-level discussions.
• Industry experience in investment banking, management consulting, or related financial modeling, decision support, and corporate strategy.
• Experience with data scripting languages (SQL, Python, R).

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

Base Pay Range: $149,900 - $270,500. Corporate Bonus Target: 20%.

The pay range above is the general base pay range for a successful candidate in the role. The actual pay will be based on location, qualifications, and experience.

At T-Mobile, employees in regular roles are eligible for annual bonuses or incentives based on role and performance. For details on the pay range by hiring location, please refer to the posting.

At T-Mobile, our benefits exemplify the spirit of One Team, Together. Benefits include medical, dental and vision insurance, 401(k), paid time off, holidays, parental and family leave, rewards such as employee stock grants and employee stock purchase plan, tuition assistance, disability and life insurance, and more. For details, visit

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