Strategic Payment Analytics Lead

T-MOBILE USA, Inc.; Overland Park (KS); On-site; USD 73,100 - 131,900; Full time

Benefits offered by this job

Stock grants

Employee stock purchase plan

401(k)

Paid time off

Bonuses

Job summary

The Senior Analyst, Payment Strategy at T-Mobile USA, Inc. leads data-driven evaluation of customer payment behavior and strategic recommendations to optimize the payment experience while managing risk and costs.

Collaborating with Product, Finance, Technology, Fraud, and Operations, you will build financial models, dashboards, and executive-ready presentations, leveraging Snowflake, SQL, and AI tools to inform decisions.

Qualifications

• 2-4 years experience with written communication and presentation skills; business writing and PowerPoint
• 2-4 years experience in strategy and problem solving for complex issues with data-driven recommendations
• 2-4 years experience data analytics and financial modeling; analyze complex data
• Analytical thinking, statistical analysis, critical thinking, data analysis
• Microsoft PowerPoint and strategic thinking

Responsibilities

• Analyze Customer Payment Behavior
• Develop Payment Strategy Recommendations
• Data Analysis & Decision Support
• Cross-Functional Strategy Development
• Executive Communications
• Industry & Market Insights (10%)

Skills

Analytical thinking

Data Analysis

Financial Modeling

Microsoft PowerPoint

Strategic Thinking

Written communication

Presentation skills

AI Productivity

Problem solving

Education

Bachelor's degree plus 2 years of related work experience OR combination of education and experience deemed equivalent

Preferred: Business, Finance, Economics, Computer Science, Statistics

Tools

SQL

Snowflake

AI Productivity (ChatGPT, Claude)

Job description

The Senior Analyst, Payment Strategy at T-Mobile USA, Inc. leads data-driven evaluation of customer payment behavior and strategic recommendations to optimize the payment experience while managing risk and costs.

Collaborating with Product, Finance, Technology, Fraud, and Operations, you will build financial models, dashboards, and executive-ready presentations, leveraging Snowflake, SQL, and AI tools to inform decisions.