Senior BI & AI Usage Analytics Lead

T-MOBILE USA, Inc.; Frisco (TX); Sur place; USD 93 000 - 126 000; Plein temps

Avantages offerts par ce poste

Stock grants

Employee stock purchase plan

401(k)

Résumé du poste

The Business Intelligence Senior Analyst at T-Mobile is responsible for guiding the business through quantitative and qualitative data analysis, building the single view of AI at the company. You will create customer-centric data-driven solutions, design reporting structures, and administer standardized reports used across the AI governance team.

You will join the AI Platforms & Adoption team (APEX) within AI Governance, Platforms & Experience, linking data from Cyber monitoring, CMDB,

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)

Responsabilités

• 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.

Connaissances

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

Formation

Bachelor's Degree

Advanced degree

Outils

Databricks

Snowflake

Power BI

Tableau

Python

Description du poste

The Business Intelligence Senior Analyst at T-Mobile is responsible for guiding the business through quantitative and qualitative data analysis, building the single view of AI at the company. You will create customer-centric data-driven solutions, design reporting structures, and administer standardized reports used across the AI governance team.

You will join the AI Platforms & Adoption team (APEX) within AI Governance, Platforms & Experience, linking data from Cyber monitoring, CMDB,