Lead, Commissions Analytics & Decision Support

T-Mobile US Inc.; Overland Park (KS); Presencial; USD 110.000 - 170.000; Jornada completa

Descripción de la vacante

T-Mobile US Inc. in Overland Park, KS is seeking an experienced analytics professional to own commissions analytics and insights within the Total Rewards framework.

You will lead cross-functional efforts to analyze incentive data, build predictive models, and deliver dashboards for leadership and field teams. The role requires 6+ years of analytics experience, strong communication, and the ability to translate business needs into scalable reporting, with a focus on accuracy, automation, and

Formación

• 6+ years in analytics reporting and cross-functional initiatives.
• Experience in commissions/incentive analytics and sales operations.
• Ability to translate business needs into scalable reports and dashboards.

Responsabilidades

• Analyze commissions and incentive data to identify trends and opportunities.
• Partner with Sales, Finance, Compensation, Ops, and IT to deliver solutions.
• Develop models for payout forecasting, scenario analysis, and plan changes.
• Lead dashboards and reports supporting decisions for field, finance, and leadership.
• Ensure data accuracy and controls across multi-source data.
• Identify opportunities to automate reporting and improve processes.
• Coach and develop analytics teammates and share best practices.

Conocimientos

Communication

Stakeholder Management

Executive Presentation Skills

Commissions Analytics

Data Analysis

Statistical Forecasting

Dashboard Development

Data Visualization

SQL

Alteryx

Problem Solving

Attention to Detail

Cross-Functional Project Management

Team Leadership

Herramientas

Alteryx

Power BI

Tableau

Excel

Python (basic)

R (basic)

Descripción del empleo

T-Mobile US Inc. in Overland Park, KS is seeking an experienced analytics professional to own commissions analytics and insights within the Total Rewards framework.

You will lead cross-functional efforts to analyze incentive data, build predictive models, and deliver dashboards for leadership and field teams. The role requires 6+ years of analytics experience, strong communication, and the ability to translate business needs into scalable reporting, with a focus on accuracy, automation, and