Sr Analyst, Business Intelligence - AI Usage Data & Analytics

T-Mobile USA; Bellevue (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Stock grant

Employee stock purchase plan

401(k)

Money coaches

Job summary

T-Mobile is seeking a Business Intelligence Senior Analyst to guide the business through analytics, building the single view of AI across the enterprise. You will design reporting structures, create dashboards, and automate data pipelines to support executive insights and governance of AI initiatives.

You will work with data from multiple sources and collaborate with product managers on tests and forecasting to drive adoption and optimize AI spend.

Qualifications

• Bachelor's degree in Business, Statistics or related field is required.
• 5+ years of related work experience in BI/analytics.
• 4–7 years experience with BI tools (Tableau, Power BI) is required.
• 2–4 years experience in online e-commerce or on-line support environments.
• 2–4 years experience in advanced analytics including testing, surveys & market research.

Responsibilities

• Support the business analytics needs using data from multiple sources (Cyber monitoring, CMDB, ServiceNow, MagentaU, AI platform data).
• Build and own the enterprise AI portfolio health view across data sources.
• Create holistic dashboards for senior management, including executive views for AI Steering Committee and Governance Council.
• Guide data strategy across AI platforms, training, surveys, and related touchpoints.
• Drive core insights and develop strategies to improve employee experience and adoption; collaborate on A/B tests and multivariate tests.
• Build forecasting models for AI spend accounting for token volumes, model mix, capacity, and pricing changes.
• Deliver showback dashboards with row-level security for different viewers.
• Involve early in projects to set reporting needs and integrate them into system design, including onboarding new AI platforms.
• Automate data pipelines so portfolio views, forecasts and reports refresh without manual pulls.
• Present analyses and strategies to senior management in both verbal and written forms.
• Handle other duties/projects as assigned.

Skills

A/B Testing

Ad Hoc Analysis

Business Acumen

Dashboard Development

Data Analysis

Data Mining

Data Visualization

SQL Databases

Stakeholder Management

Business Intelligence Software

Education

Bachelor's Degree in Business/Statistics or related

Advanced degree in a related field

Tools

Tableau

Power BI

Python

Databricks

Snowflake

Job description

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!

Job Overview

The Business Intelligence Senior Analyst is responsible for guiding the business through the analysis of quantitative & qualitative data. In this role, you build the single view of AI at T-Mobile: the dashboards executives use to understand the health of AI governance and AI programs across the enterprise.

This role requires the creation of customer centric solutions/approaches driven by data analysis, business acumen, creativity, and effective communication. This position will participate in the design and development of reporting structures and interfaces, as well as administration of standardized reports to be utilized across the team.

You will join the AI Platforms & Adoption team within AI Governance, Platforms & Experience (APEX). The work connects data no single system holds today, from Cyber monitoring, CMDB, ServiceNow, MagentaU, and every enterprise AI platform, into the view leaders use to see where AI is working and where it needs attention.

Job 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.

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 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)

Required Knowledge, Skills and Abilities :

• A/B Testing
• Ad Hoc Analysis
• Business Acumen
• Business Intelligence Software
• Business Requirements Analysis
• Dashboard Development
• Data Analysis
• Data Mining
• Data Visualization
• SQL Databases
• Stakeholder Management

Preferred Knowledge, Skills and Abilities :

• Experience joining data from many operational systems, such as ServiceNow, CMDB, security monitoring tools, and learning platforms, into a common data model
• Experience building executive dashboards or scorecards that combine operational, risk, and financial measures into one view
• Proficiency in SQL and Python for data modeling, forecasting, and pipeline automation
• Experience with cloud data platforms (e.g. Databricks, Snowflake) and automated data pipelines
• Experience designing row-level security and dynamic, role-based views in Power BI or Tableau
• Experience building driver-based or time-series forecasting models for cloud, compute, or consumption-based spend
• Working knowledge of how large language models and AI agents work, including tokens and model choice, sufficient to explain usage and