Sr Analyst, Business Intelligence — AI Usage Data & Analytics

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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, Service Now, 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, Service Now 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 Service Now, 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,…