Data Analyst, Data collection and Automation

Job Overview At T‑Mobile, we invest in YOU! Our Total Rewards Package ensures that employees receive a competitive base salary and a comprehensive benefits package that includes stock grants, a 401(k), free money coaching, and more. This Data Analyst role focuses on defining analytics specifications for web and app features, guiding digital product teams through analysis of mobile and web performance data, collecting data for digital products, automating tagging, creating reports and dashboards, and participating in QA and governance. 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 such as GPT‑based models and generative automation platforms. • Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention. • Develop and maintain automated workflows for event 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). • Conduct 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. • Experience working with extremely large datasets. • Experience in Power BI, Adobe Analytics, Metabase or 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 with 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 DOT Regulated DOT Regulated Position: No Safety Sensitive Position: No Base Pay Range $68,000 – $122,700 Corporate Bonus Target: 10% Benefits Full and part‑time employees have access to medical, dental, vision, a flexible spending account, 401(k), employee stock grants and purchase plan, paid time off, pay‑holiday, parental leave, family building benefits, backup care, tuition assistance, short‑ and long‑term disability, voluntary AD&D, accident and life insurance, long‑term care, mobile and home internet discounts, pet insurance, and commuter and transit programs. For more detail, see the T‑Mobile benefits portal. Equal Opportunity Statement 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, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing or calling . This contact channel is not a means to apply for or inquire about a position and we are unable to respond to non‑accommodation related requests. #J-18808-Ljbffr Apply tot his job