At T-Mobile, the Data Analyst role is responsible for defining analytics specifications for web and app features, guiding Digital Product teams through the analysis of mobile app and web performance data, and automating the collection and tagging of digital events and context data. The role also involves leading the automation of writing and maintaining analytics event technical specifications using AI/LLMs to transform business requirements into scalable tracking documentation.
Requirements
- Strong expertise in SQL, Python, relational databases, and data warehousing.
- Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc
- Prompt engineering skills for structuring inputs to generate accurate technical documentation.
- Ability to design and fine-tune custom LLM workflows for automating spec creation and validation
- Hands-on experience with Adobe Analytics (eVars, events, classifications), Adobe Experience Platform (AEP)
- Proven experience with Python and NLP models to automate tagging and data collection of digital events and context data. (Required)
- Experience in Power BI, Adobe Analytics, Metabase/OpenSearch for dashboards, reporting, and KPI development.
Responsibilities
- Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs.
- Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms).
- Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention
- Develop and maintain automated workflows for events specification creation, review, and updates in collaboration with engineering and analytics stakeholders.
- Ensure data governance and consistency across events by applying AI-driven validation and rules.
- Integrate specification automation into existing documentation platforms (Confluence, Git-based repositories).
- QA of digital data collection and ensure consistent data across platforms.
Other
- Bachelor's Degree required.
- 4+ years of experience in digital analytics, business intelligence, or related roles.
- Strong collaboration and communication skills, with the ability to influence across product, engineering, and leadership teams.
- Travel Required (Yes/No): Yes
- At least 18 years of age
