Strategic BI Analyst — AI Usage & Analytics

T-Mobile; Frisco (TX); On-site; USD 93,000 - 126,000; Full time

Benefits offered by this job

Annual stock grant

Employee stock purchase plan

401(k)

Paid time off

12 paid holidays

Tuition assistance

Mobile service discounts

Job summary

T-Mobile is hiring a Business Intelligence Senior Analyst to guide the business through data analysis and build the single view of AI across the enterprise. You will design and develop reporting structures, administer standardized reports, and support executive dashboards for AI governance and platforms adoption.

Join the AI Platforms & Adoption team (APEX) to connect data from Cyber monitoring, CMDB, ServiceNow, MagentaU, and other platforms into a cohesive AI portfolio view.

Qualifications

• 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 Business, Statistics or similar degree (Required)
• 4-7 years Experience with business intelligence tools (e.g.Business Objects, Cognos, Hyperion, etc.) (Required)
• 4-7 years Experience in reporting & analyzing performance & data visualization (Tableau, Power BI) (Required)
• 2-4 years Experience in online e-commerce or on-line support environments (Required)
• 2-4 years Experience in advanced business analytics, which include testing, competitive analysis, surveys, & market research (Required)
• 2-4 years Call center experience if applicable (Required)

Responsibilities

• Support the analytic needs of the business by using data from various sources (e.g. Cyber monitoring, CMDB, ServiceNow incident queues, MagentaU training records, and AI platform usage and billing data).
• Build and own the enterprise AI portfolio health view, bringing data from many source systems into one picture of AI inventory, risk, incidents, training, adoption, and spend across T-Mobile.
• Create holistic dashboards from different data sources for presentations to senior management, including the executive views used by the AI Steering Committee and AI Governance Council.
• Guide data strategy across multiple touch points (e.g. AI platforms, AI Hub, training programs, surveys), including the data model that connects these sources.
• Own the process of driving core insights from available data and create strategies to improve the employee experience & adoption performance. This will include collaborating with product managers for A/B testing & multivariate testing.
• Build forecasting models for AI spend across platforms and models that account for compute cost drivers: token volume, model mix, committed versus on-demand capacity, and pricing changes.
• Deliver showback dashboards with row-level security that adjust dynamically to the person viewing the data.
• Early involvement in enterprise projects to define reporting needs & incorporating those needs into the system design, including new AI platform and model onboarding.
• Automate data pipelines so portfolio views, forecasts, and reports refresh without manual pulls.
• Present analysis & strategies to senior management in verbal & written forms.
• Also responsible for other Duties/Projects as assigned by business management as needed.

Skills

A/B Testing

Ad Hoc Analysis

Business Acumen

Dashboard Development

Data Analysis

Data Mining

Data Visualization

SQL Databases

Stakeholder Management

Education

Bachelor's degree in Business/Statistics or related field

Advanced degree (required with 3+ years)

4-7 years BI/reporting experience in business intelligence tools

Tools

Power BI

Tableau

SQL

Python

Job description

T-Mobile is hiring a Business Intelligence Senior Analyst to guide the business through data analysis and build the single view of AI across the enterprise. You will design and develop reporting structures, administer standardized reports, and support executive dashboards for AI governance and platforms adoption.

Join the AI Platforms & Adoption team (APEX) to connect data from Cyber monitoring, CMDB, ServiceNow, MagentaU, and other platforms into a cohesive AI portfolio view.