Sr Product Manager - Analytics
Bellevue, WA, United States
T-Mobile drives innovation and industry disruption in wireless technology. The Sr Product Manager - Analytics will collaborate with technical and non-technical partners to apply analytics and machine learning techniques to address business challenges. This role requires expertise across the entire analytics and machine learning lifecycle.
In this role you can expect to have the responsibilities:
Extract, prepare, and model large, complex data sets using a combination of machine learning, mathematics, statistics, and programming.
Manage product analysis end to end for cross-platform solutions for handsets and devices.
Identify target customers for current or future products and design end-user research.
Collaborate with internal and external partners and leadership to understand customer preferences and identify key areas of opportunity.
Deliver quality analysis and synthesize data into actionable recommendations for the company.
Use rapid hypothesis testing methodologies and experiments to inform direction and prioritize investment.
Analyze industry trends and their potential impacts on customers and products, incorporating findings into models.
Present ad hoc analysis to executive level management upon request.
Conduct cost-benefit, ROI, and NPV analyses for product decision making.
Support marketing, finance, and partner teams with product forecasting knowledge.
This role comes with the following benefits:
Medical, dental, and vision insurance.
Flexible spending account.
401(k) and employee stock grants.
Paid time off and up to 12 paid holidays.
Paid parental and family leave.
Family building benefits and childcare subsidy.
Tuition assistance and college coaching.
Short and long-term disability insurance.
Voluntary AD&D, accident, life, and long-term care insurance.
Mobile service and home internet discounts.
Pet insurance.
Access to commuter and transit programs.
This role requires you to have:
7+ years of industry experience in predictive modeling, data science, and analysis.
4-7 years of experience with data scripting languages like SQL, Python, R, and forecasting applications.
Experience in product forecasting and long-range product performance predictability.
Effective communication and collaboration skills.
Expertise in Python, SQL, and SAS.
Knowledge of calculus, linear algebra, statistics, and probability.
Strong analytical skills for identifying and synthesizing product use data.
Experience in delivering large and complex business/technology initiatives.
Bachelor's degree in a quantitative discipline.
You would benefit from having:
Master’s degree in a quantitative discipline.
Experience in an agile software product development environment.
T-Mobile is an Equal Opportunity Employer committed to diversity and inclusion.
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