Principal Analyst - Business Intelligence, Legal Affairs

T-Mobile•Overland Park, WA

1d•$112,400 - $202,700

About The Position

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! Are you looking for a work environment which encourages teamwork and where you are respected, supported, challenged, and can grow and advance your career? If your answer is “yes,” you should join T-Mobile’s All-Star Legal Team! T-Mobile has an exciting opportunity for a Principal Analyst with exceptional analytical and communication skills and a talent for creative problem-solving to provide business intelligence to our dynamic business teams. A successful candidate will be ready to jump into action, working closely with experts across the legal department and business partners to provide practical, strategic guidance and design and implement creative solutions to address complex legal and technological challenges. This role delivers advanced quantitative and qualitative data to support decision-making. It involves creating internal client-centric solutions driven by data analysis, business acumen, creativity, and effective communication. The role leads the design and development of reporting structures and interfaces, administering standardized reports for cross-functional use. Success is measured by the delivery of advanced business insights and findings presented clearly through data visualizations and AI analytics to Legal audiences. The work impacts the organization by enabling informed decisions and operational efficiency within the Legal team.

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience.
Acceptable areas of study include Business, Statistics or similar degree.
7-10 years’ experience with business intelligence tools.
7-10 years’ experience in reporting & analyzing performance & data visualization (Tableau; PowerBI).
7-10 years’ experience in advanced analytics including SQL/ETL of complex datasets, quantitative analysis & research.
2+ years’ recent experience manipulating data and developing data interactions through AI tools such as MSFT Copilot, ChatGPT and/or Claude.
Experience working with Legal teams a plus.
Knowledge, Skills, and Abilities - Azure Data Services, Databricks, Data Governance, Data Modeling, Data Pipeline Development, A/B Testing, Ad Hoc Analysis, Business Acumen, Business Requirements Analysis, Competitive Analysis, Dashboard Development, Data Analysis, Data Visualization, Stakeholder Management, AI development.
At least 18 years of age
Legally authorized to work in the United States

Responsibilities

Transform complex business questions into actionable insights by integrating and analyzing data from multiple enterprise systems and sources.
Design and deliver executive-level dashboards, reporting solutions, AI-driven analytics and conversational AI tools that provide a comprehensive view of business performance and strategic initiatives.
Identify trends, opportunities, and risks within large datasets, translating findings into recommendations that enhance operational efficiency, drive decisions, and financial performance.
Partner with cross-functional stakeholders early in the project lifecycle to define reporting, analytics, AI chat, and data requirements, ensuring measurement and visibility are embedded in solution design.
Deliver key performance indicators across Legal teams to drive data-informed decision-making and continuous improvement.
Collaborate with business and technology teams to improve data quality, AI and reporting capabilities, and analytics processes that enable scalable decision support.
Serve as a trusted advisor to stakeholders by leveraging data to influence business strategy, prioritize initiatives, and measure outcomes.
Lead or contribute to special projects and strategic initiatives that support evolving business objectives and organizational priorities.
Build and maintain scalable data pipelines that support reporting, analytics, and AI solutions.