Business Analysis Manager | Analysis and Incentive Strategy

T-Mobile Incentive Strategy Team Role

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!

Job Overview: This role sits within T-Mobile's Incentive Strategy team and drives the data modeling, financial analysis, and business intelligence work that shapes how we design, evaluate, and evolve our incentive programs. You'll turn large, complex datasets into clear strategic recommendations — modeling incentive plan structures, forecasting financial impact, measuring program effectiveness, and delivering executive-level insights that influence decisions across the organization. This is a data and strategy role where the domain happens to be incentives. If you've built financial models, written SQL against enterprise data warehouses, and translated complex data into narratives that drive business action — this role is for you. Compensation or incentive background is a plus, not a prerequisite.

Job Responsibilities:

• Build and maintain analytical models to evaluate incentive plan design scenarios, quota structures, payout curves, and program ROI
• Develop financial forecasts and accrual models to project incentive program costs and quantify business impact
• Mine and analyze large, complex datasets using SQL to surface performance trends, behavioral patterns, and strategic insights
• Design and maintain dashboards, self-service reporting tools, and data visualizations (Tableau, Power BI) that give stakeholders real-time visibility into program performance
• Partner with Finance, HR, Sales, and Operations to translate business questions into analytical frameworks and deliver actionable recommendations to senior leadership
• Conduct ad hoc quantitative research and scenario modeling to support executive decision-making
• Contribute to the design and governance of data infrastructure, reporting standards, and analytical documentation for the team
• Also responsible for other duties/projects as assigned by business management as needed

Education and Work Experience:

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required) Acceptable areas of study include data science, statistics, mathematics, economics, finance, data analysis, or equivalent quantitative experience (Required)
• 4–7 years of experience solving complex analytical problems using quantitative and statistical approaches (Required)
• 4–7 years of hands-on experience with SQL analysis of large, complex datasets in enterprise environments (e.g., Snowflake, Databricks, MSSQL, Teradata, or similar) (Required)
• 4–7 years of experience building and presenting data visualizations and performance reporting using Tableau, Power BI, or equivalent tools (Required)
• 4–7 years of experience with financial modeling, forecasting, or scenario analysis (Required)
• Experience with Python, R, or similar statistical/data science language (Preferred)
• Background in incentive compensation, sales operations, HR analytics, or workforce analytics (Preferred — not required)
• Telecommunications industry experience (Preferred)

Knowledge, Skills and Abilities:

• Financial Modeling & Quantitative Analysis — Demonstrated ability to build models from scratch, stress-test assumptions, and translate findings into clear business recommendations for non-technical audiences (Required)
• SQL Expertise — Deep, hands-on proficiency querying and transforming large datasets across enterprise data platforms (Required)
• Data Visualization — Experience designing dashboards and reports that drive decisions, not just display data (Required)
• Communication & Influence — Ability to translate complex analysis into clear executive narratives; comfortable presenting and defending analytical methodology to senior leadership (Required)
• Problem Structuring — Ability to take an ambiguous business question and break it into a structured, actionable analytical approach (Required)
• Financial & Business Acumen — Comfortable working with financial data, understanding cost/benefit tradeoffs, and framing analysis in terms of organizational impact (Required)

Licenses and Certifications:

• Other Business Certification (Preferred)
• At least 18 years of age
• Legally authorized to work in the United States

Travel: Travel Required (No) DOT Regulated: DOT Regulated Position (No) Safety Sensitive Position (No) Base Pay Range: $77,900 - $140,500 Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful 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.

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. Most Corporate employees are eligible for a year-end bonus based on company and/or individual 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.

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

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, 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 View email address on click.appcast.io or calling View phone number on click.appcast.io. 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.