Role 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 - 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!
Seeking candidates with a strong quantitative and analytical background who are looking for opportunities to solve critical business and financial problems alongside a team of innovative experts and executives who have revolutionized the mobile phone industry.
As member of Commercial Strategy, Quantitative Pricing and Business Analytics team, this person will support various aspects of strategic insights and financial decision making to maximize T-Mobile’s continued success in the US wireless market. This role favors candidates with quantitative and analytical skills and a passion for research. The job involves pricing, products, promotion, and distribution placement with specific roles and assignments going deep into these areas. Through bottoms-up data exploration and quantitative financial modeling, this role will formulate a strategic lens into market levers and drive go-to-market action and influence executives and key decision makers, including COO, CMO and CFO.
We are looking for candidates with an analytical mindset who are passionate about learning new and better approaches to solve business problems.
What you'll work on
- Develop frameworks and high-level strategies for marketing, pricing, channel, and customer acquisition
- Develop a deep understanding of industry, corporate, and customer drivers
Build financial models to evaluate opportunities and their impact on T-Mobile’s overall value
Provide analytical support by framing complex problems, identifying variable relationship, distilling insights from data, and presenting findings
Collaborate across functions, including finance, product management, corporate strategy, and sales, to manage price factors that influence customer acquisition, retention, and revenue
Extract and analyze relevant data to answer key business questions, and communicate the results to help make business decisions
Develop SQL queries to compile performance data necessary for analysis of strategy effectiveness
Design various metrics to measure intended benefits, unintentional benefits or losses, and overall value to the business.
What we're looking for
- Mathematics Calculus, linear algebra, statistics, and probability (Required)
- Programming Working knowledge of Python and SQL (Required)
Machine Learning: Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)
At least 18 years of age
Legally authorized to work in the United States