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T-Mobile USA, Inc.

Reporting and Decision Support Manager

Overland Park, KS, United States

National Base Pay Range: $81,200 - $146,600

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Job details

Pay: National Base Pay Range: $81,200 - $146,600
Experience: 6+ years’ experience developing reporting and analytics solutions in a business environment, including leading complex, cross-functional initiatives.
Posting language: English
Posted: Nov 9, 2026

Original job description

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!

The Reporting & Decision Support Manger is an individual contributor role. It will lead incentive compensation reporting and analytics that give business leaders a clear, trusted view of commission’s performance, plan effectiveness, and payout outcomes. This role serves as the primary analytics partner to our commission’s compensation operations stakeholders, translating business needs into prioritized reporting and analytics roadmaps, and communicating insights and recommendations to senior leadership. The Manager applies advanced analytical techniques, including forecasting, scenario modeling, and statistical analysis, to evaluate commissions programs. This role ensures the accuracy and auditability of commissions data and reporting, and drives automation and process improvements across the reporting environment.

MAIN RESPONSIBILITIES

Responsibility:

Commissions Analytics & Insights: Analyze commissions and incentive compensation data, including attainment, payout, cost of sales, and plan performance, to identify trends, risks, and opportunities, and deliver actionable recommendations to leadership.

Business Partnership & Stakeholder Management: Build and maintain strong relationships with business partners across Sales, Finance, Compensation, Operations, and IT. Understand their needs, set priorities, manage expectations, define requirements, and ensure delivered solutions meet business objectives.

Advanced Analytics & Modeling: Develop and apply statistical, forecasting, and predictive models, including payout forecasting, scenario analysis, and plan-change impact modeling, to evaluate IC program effectiveness and support plan design and budget decisions.

Reporting & Decision Support Solutions: Oversee the design, development, and enhancement of dashboards, reports, and analytical solutions that support operational and strategic decision making for field, finance, and leadership audiences.

Data Management, Quality & Controls: Ensure the accuracy, consistency, and reliability of commissions data integrated from multiple enterprise sources. Establish validation, reconciliation, and monitoring practices that support auditability and internal controls.

Process Improvement & Automation: Identify opportunities to improve reporting processes, automate recurring work, enhance data architecture, and increase operational efficiency across the IC reporting environment.

Team Leadership & Knowledge Sharing: Lead, coach, and develop analysts; set priorities and manage team workload; serve as a subject matter expert; document solutions; and promote analytics best practices across the team.

EXPERIENCE

6+ years’ experience developing reporting and analytics solutions in a business environment, including leading complex, cross-functional initiatives.
Experience in commissions, incentive compensation, sales performance, or sales operations analytics (2+ years preferred).
Experience building trusted relationships with senior business partners and translating their needs into prioritized, scalable reporting and analytics solutions.
Experience applying advanced analytical techniques, such as statistical analysis, forecasting, and scenario modeling, to solve business problems.
Experience analyzing large and complex datasets and integrating data from multiple enterprise data sources.
Experience managing multiple priorities and delivering high-quality analytical solutions in a fast-paced environment with recurring deadlines.
Experience leading, mentoring, or directing the work of analysts or other team members.
Experience presenting analytical findings and recommendations to senior leaders.

KNOWLEDGE, SKILLS & ABILITIES

Required:

Communication
Stakeholder & Relationship Management
Executive Presentation Skills
Commissions / Incentive Compensation Analytics
Data Analysis
Statistical Analysis & Forecasting
Dashboard Development
Data Visualization
Business Requirements Gathering
Business Process Improvement
Cross-Functional Project Management
Team Leadership & Coaching
Data Management
Data Quality
Data Integration
Analytical Thinking
Reporting Automation
Performance Measurement
SQL or comparable data query language
Experience with business intelligence and data visualization platforms
Experience with data transformation and integration tools, including working knowledge of Alteryx
Critical Thinking
Problem Solving
Attention to Detail

Preferred:

Predictive analytics and machine learning
Programming languages for analytics (e.g., Python, R, or equivalent)
Data modeling
Financial analysis
Experience with incentive compensation or sales performance management platforms
Familiarity with compensation governance, internal controls, and audit requirements
At least 18 years of age
Legally authorized to work in the United States

Total Target Cash Earnings Opportunity: $93,380 - $168,590

National Base Pay Range: $81,200 - $146,600

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

The base pay range reflects the compensation component of this opportunity. The candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ380505&paradox=1

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable! T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

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More about this job

Skills

Reporting
Support managers
Stakeholder management
Decision making
Team leadership
Sales
Statistics
Forecasting
Coaching
Communication skills
Presentation skills
Data analysis
Data visualization
Requirements gathering
Business processes
Project management
Data management
Analytical skills
SQL
Business intelligence
Alteryx
Critical thinking
Problem solving
Attention to detail
Machine learning
Programming languages
Python
R
Data modelling
Financial analysis
Performance management
Customer service
Child care

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