Sr Analyst, Business Intelligence — AI Usage Data & Analytics

T-Mobile•Frisco, WA

11d•$93,200 - $141,800

About The Position

The Business Intelligence Senior Analyst guides the business through quantitative and qualitative data analysis and builds a unified view of AI at T-Mobile. The role develops dashboards executives use to understand the health of AI governance and programs across the enterprise. It creates customer-centric solutions informed by data analysis, business acumen, creativity, and effective communication, and participates in designing and developing reporting structures and interfaces and administering standardized reports. The position is part of the AI Platforms & Adoption team within AI Governance, Platforms & Experience (APEX). It connects information from sources such as Cyber monitoring, CMDB, ServiceNow, MagentaU, and enterprise AI platforms to help leaders see where AI is working and where attention is needed.

Requirements

Bachelor's degree plus 5 years of related work experience, or an advanced degree plus 3 years of related experience.
Degree in Business, Statistics, or a similar area of study.
4–7 years of experience with business intelligence tools such as Business Objects, Cognos, or Hyperion.
4–7 years of experience in reporting, performance analysis, and data visualization using tools such as Tableau or Power BI.
2–4 years of experience in online e-commerce or online support environments.
2–4 years of experience in advanced business analytics, including testing, competitive analysis, surveys, and market research.
2–4 years of call center experience, if applicable.
Knowledge and skills in A/B testing, ad hoc analysis, business acumen, business intelligence software, business requirements analysis, dashboard development, data analysis, data mining, data visualization, SQL databases, and stakeholder management.
At least 18 years of age.
Legally authorized to work in the United States.

Nice To Haves

Experience joining data from 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.
Proficiency in SQL and Python for data modeling, forecasting, and pipeline automation.
Experience with cloud data platforms such as Databricks or 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 forecasts for cloud, compute, or consumption-based spend.
Working knowledge of large language models and AI agents, including tokens and model selection, sufficient to explain usage and cost drivers to non-technical leaders.

Responsibilities

Support business analytics using data from sources including Cyber monitoring, CMDB, ServiceNow incident queues, MagentaU training records, and AI platform usage and billing data.
Build and own an enterprise AI portfolio health view combining AI inventory, risk, incidents, training, adoption, and spend data across T-Mobile.
Create dashboards from multiple data sources for senior management, including views for the AI Steering Committee and AI Governance Council.
Guide data strategy across AI platforms, AI Hub, training programs, and surveys, including the data model connecting these sources.
Drive insights from available data and develop strategies to improve employee experience and adoption performance, collaborating with product managers on A/B and multivariate testing.
Build AI spend forecasting models that account for token volume, model mix, committed versus on-demand capacity, and pricing changes.
Deliver showback dashboards with row-level security that dynamically adjusts to the viewer.
Participate early in enterprise projects to define reporting needs and incorporate them into system design, including onboarding new AI platforms and models.
Automate data pipelines so portfolio views, forecasts, and reports refresh without manual data pulls.
Present analysis and strategies to senior management verbally and in writing.
Perform other duties or projects as assigned by business management.

Benefits

Competitive base salary and compensation package.
Annual stock grant and employee stock purchase plan.
401(k) and access to free, year-round money coaches.
Annual bonus or periodic sales incentive or bonus, depending on role and eligibility.
Medical, dental, and vision insurance.
Flexible spending account.
Paid time off and up to 12 paid holidays.
Paid parental and family leave.
Family-building benefits, backup care, enhanced family support, and childcare subsidy.
Tuition assistance and college coaching.
Short- and long-term disability coverage, voluntary AD&D, accident, life, disability, and long-term care insurance.
Mobile service and home internet discounts for eligible employees.
Pet insurance for eligible employees.
Commuter and transit programs for eligible employees.