Sr. Analyst, Business Systems

At T-Mobile, we invest in YOU  Our Total Rewards Package ensures that employees get the same big love we give our customers.  All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees

Job Responsibilities:

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).

Education and Work Experience:

• Bachelor's Degree (Required) - plus 5 years of related work experience OR Advanced degree with 3 years of related experience. Academic background in quantitative, technical, or analytical fields preferred.
• 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.

Preferred Experience & Skills:

• Experience conducting A/B testing analysis.
• Familiarity with machine learning concepts, model outputs, and ML-assisted analysis workflows.
• Experience with large language models (LLMs) to automate analysis, accelerate insight generation, or enhance documentation.
• 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.

Knowledge, Skills and Abilities:

• Strong communication, storytelling, and collaborator interaction skills.
• Ability to translate complex data and technical concepts into clear business recommendations.
• Experience partnering directly with business teams to define questions, measurement strategies, and success criteria.

• At least 18 years of age
• Legally authorized to work in the United States

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, our benefits exemplify the spirit of One Team, Together A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending