Sr Analyst, Business Intelligence — AI Usage Data & Analytics

T-Mobile•Bellevue, WA

10d

About The Position

The Business Intelligence Senior Analyst guides the business through quantitative and qualitative data analysis and builds a single view of AI at T-Mobile. The role develops dashboards executives use to understand the health of AI governance and programs across the enterprise, using data analysis, business acumen, creativity, and effective communication to create customer-centric solutions. It participates in designing and developing reporting structures and interfaces and administering standardized reports for team use. The position is part of the AI Platforms & Adoption team within AI Governance, Platforms & Experience (APEX). It connects data from systems and sources such as Cyber monitoring, CMDB, ServiceNow, MagentaU, and enterprise AI platforms into views that help leaders understand AI inventory, risk, incidents, training, adoption, and spend. The role also supports enterprise reporting needs, forecasting, automated data pipelines, and executive presentations. The position may be based in Bellevue, Washington, or Frisco, Texas, and travel may be required up to 10% based on business needs.

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 field.
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.
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 combining 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 choice, 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 that combines data across source systems to show AI inventory, risk, incidents, training, adoption, and spend.
Create dashboards from different data sources for senior management, including executive 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.
Develop insights from available data and strategies to improve employee experience and adoption performance, collaborating with product managers on A/B and multivariate testing.
Build AI spend forecasting models across platforms that account for token volume, model mix, committed versus on-demand capacity, and pricing changes.
Deliver showback dashboards with row-level security that dynamically adapts to the person viewing the data.
Participate early in enterprise projects to define reporting requirements 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, back-up 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.