T-Mobile

Senior Analyst, Business Systems

T-Mobile

full-time

Posted on:

Location Type: Office

Location: Bellevue • Kansas, Virginia, Washington • 🇺🇸 United States

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Salary

💰 $80,900 - $146,000 per year

Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQLTableau

About the role

  • Data Analysis & Insights: Use SQL and Python to analyze omnichannel data (web, app, retail, care, chat, etc.) to identify trends, friction points, and performance drivers. Generate actionable insights and recommendations that inform business decisions. Develop and evaluate A/B tests, including variance and lift analyses. Leverage tools such as Databricks, Snowflake, BigQuery, Adobe/CJA, and Quantum Metric.
  • Requirements & Customer Alignment: Gather, clarify, and align analytics requirements with business and digital objectives. Translate business questions into structured analytical solutions, data models, or dashboards. Partner multi-functionally to ensure scalability and alignment with critical metrics.
  • Dashboarding & Reporting: Build and maintain dashboards in Tableau, Power BI, or Looker. Define and operationalize clear benchmarks. Ensure reporting is accurate, timely, and aligned with business needs.
  • Data Quality & Troubleshooting: Validate data across platforms (Azure, GCP, AWS, Snowflake). Detect anomalies, debug issues, and perform root cause analyses. Collaborate with engineering teams to ensure accurate tagging and durable fixes.
  • Documentation & Modeling: Develop data models, tracking specifications, and analytics documentation. Clearly document data logic, assumptions, and methodologies to support cross-team understanding.
  • Planning & Teamwork: Handle timelines and deliverables with autonomy. Provide progress updates and support analytics roadmap development, including ML/LLM initiatives.
  • Process Improvement: Improve data quality, automation, and analytics workflows. Promote guidelines for reproducibility, documentation, and version control (e.g., GitLab).

Requirements

  • Bachelor's Degree (Required) - plus 5 years of related work experience OR Advanced degree with 3 years of related experience
  • 4-7 years - Experience in data analysis, digital analytics, or business systems analysis
  • Advanced SQL expertise, including complex joins, window functions, segmentation, transformation, and optimization
  • Python experience for data analysis, modeling, automation, or statistical workflows
  • Solid experience with digital analytics tools such as Adobe Analytics, CJA, and Quantum Metric, including debugging and validation
  • Experience working with data across cloud environments: Azure, GCP, AWS, and/or Snowflake
  • Demonstrable ability to perform data quality validation, anomaly detection, and root cause analysis
  • Hands-on experience crafting dashboards in Tableau, Power BI, or Looker
  • Experience conducting A/B testing analysis
  • Familiarity with machine learning concepts, model outputs, and ML-assisted analysis workflows
  • Experience using JIRA and Confluence for ticketing, documentation, and backlog management
  • Experience with GitLab for pipeline management, version control, and change management
  • Experience supporting omnichannel analytics across digital, retail, and care environments
  • Strong communication, storytelling, and collaborator interaction skills
  • At least 18 years of age
  • Legally authorized to work in the United States
Benefits
  • Medical, dental, and vision insurance
  • Flexible spending account
  • 401(k)
  • Employee stock grants
  • Employee stock purchase plan
  • Paid time off
  • Up to 12 paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short- and long-term disability
  • Voluntary AD&D coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythondata analysisA/B testingdata modelingdata validationanomaly detectiondashboardingmachine learningautomation
Soft skills
communicationstorytellingcollaborationautonomyprocess improvement
Certifications
Bachelor's DegreeAdvanced Degree