T-Mobile
Overview Data Analyst is responsible for defining the analytics specifications for web and app features and guides the Digital Product teams through the analysis of complex mobile app and web performance data. This role is responsible for data collection of Digital products and automation of tagging the data of digital events and context data. This position requires a solid understanding of the ability to create reports, dashboards, critical metrics, and data visualizations using Adobe Analytics and Power BI through advanced SQL. This position will also participate in the development and QA of data collection, as well as administration of standardized reports to be used across business partners.
Job 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.
Collaborate with data engineers, platform teams, and data analysts to deliver features that enable accurate, scalable, and automated data collection.
Build and maintain reports, dashboards, KPIs, and interactive visualizations in Power BI and Adobe Analytics.
Translate complex analytical work into meaningful insights and recommendations for stakeholders, including product, marketing, and leadership teams.
Identify opportunities to improve data collection frameworks, reporting processes, and governance standards.
Drive adoption of unified data standards and best practices across digital product teams.
Partner with stakeholders to understand customer experiences and uncover opportunities for optimization through analytics.
Define and document cross-platform analytics event specifications (web, mobile app, backend, SDKs) that align product telemetry with business KPIs and metrics.
Translate product and business requirements into scalable event schemas and parameter definitions, ensuring accuracy across billions of daily events.
Education and Work Experience Bachelor\'s Degree required.
4+ years of experience in digital analytics, business intelligence, or related roles.
Knowledge, Skills and Abilities 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.
Understanding of AI model limitations, bias, and validation techniques to ensure reliable outputs.
Hands-on experience with Adobe Analytics (eVars, events, classifications) and 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 working with extremely large datasets.
Experience in Power BI, Adobe Analytics, Metabase/OpenSearch for dashboards, reporting, and KPI development.
Ability to translate complex data into clear, actionable insights and stories for business stakeholders.
Strong collaboration and communication skills, with the ability to influence across product, engineering, and leadership teams.
Experience with QA, data validation, and governance frameworks for analytics data.
Experience designing event schemas and technical specifications for digital analytics and telemetry across multiple platforms (web, mobile, backend).
Hands-on experience in AI technologies.
Familiarity with JavaScript is a plus.
Exposure to ML-based anomaly detection for analytics validation is a plus.
Knowledge of experimentation (A/B testing) and customer journey analytics is a plus.
Licenses and Certifications Certified Analytics Professional (CAP)
SnowPro Advanced: Data Analyst
CompTIA Data Analytics Plus certification
Microsoft Certified: Power BI Data Analyst Associate (Preferred)
At least 18 years of age
Legally authorized to work in the United States
Travel Travel Required (Yes/No): Yes
DOT Regulated DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $68,000 - $122,700
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The actual starting pay will vary based on location, qualifications, and experience.
At T-Mobile, employees in regular roles are eligible for bonuses based on role and performance. For full details on pay range and benefits, see the company benefits website.
Benefits : We offer medical, dental, vision, 401(k) enrollment with employer contributions, employee stock grants and employee stock purchase plan, paid time off, paid holidays, parental and family leave, and other benefits. For full details, visit the benefits site.
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, or disability. Discrimination or harassment based on these factors is not tolerated. If you need reasonable accommodation during the application or interview process, please contact ApplicantAccommodation@t-mobile.com or 1-844-873-9500.
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