Business Analysis Manager | Analysis and Incentive Strategy

T-Mobile•Bellevue, WA

6d•$77,900 - $140,500•Onsite

About The Position

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.

Requirements

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)
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)
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

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)
Other Business Certification (Preferred)

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