Principal BI Analyst - Legal Affairs & AI Analytics

T-Mobile; Herndon (VA); Sur place; USD 112 000 - 243 000; Plein temps

Avantages offerts par ce poste

Annual stock grant

Employee stock purchase plan

401(k) matching

Paid time off

Bonus opportunities

Comprehensive benefits

Résumé du poste

T-Mobile seeks a Principal Analyst in its Legal team to deliver advanced business intelligence and AI-driven analytics, guiding strategic decisions with data-backed insights. You will design reporting structures, develop interfaces, and administer standardized reports for cross-functional use.

The role emphasizes building scalable data pipelines, partnering with legal and business teams, and translating complex datasets into actionable guidance that improves operational efficiency and decision

Qualifications

• 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

Responsabilités

• 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.

Connaissances

Analytical thinking

Communication

Data storytelling

Stakeholder management

Problem solving

Leadership

Formation

Bachelor's Degree in Business/Statistics

Advanced degree preferred

Outils

Azure Data Services

Databricks

Data Governance

Data Modeling

Data Pipeline Development

SQL

Tableau

PowerBI

Copilot / ChatGPT / Claude

Description du poste

T-Mobile seeks a Principal Analyst in its Legal team to deliver advanced business intelligence and AI-driven analytics, guiding strategic decisions with data-backed insights. You will design reporting structures, develop interfaces, and administer standardized reports for cross-functional use.

The role emphasizes building scalable data pipelines, partnering with legal and business teams, and translating complex datasets into actionable guidance that improves operational efficiency and decision