Business Analysis Manager | Analysis and Incentive Strategy

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 Base Pay Range $77,900 - $140,500 Equal Opportunity Statement 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. #J-18808-Ljbffr