Business Analysis Manager | Quality Assurance

Job Overview

Join T-Mobile's Consumer Quality Assurance team and play a key role in strengthening how we measure, monitor, and improve quality, data integrity, and operational performance across the Consumer organization. As the Business Analysis Manager, Quality Assurance, you will focus on hands‑on data analysis, quality validation, and operational reporting, ensuring accuracy and consistency across Retail, Care, and Express channels. You will partner closely with Field Sales, Operations, Commissions, Fraud, and Data Enablement teams to analyze raw data, validate metrics, and build clear, reliable reporting views that support day‑to‑day business decisions and long‑term quality improvements.

• Perform hands‑on data analysis to identify trends, validate data accuracy, and uncover root causes of performance or quality issues across Retail, Care, and Express.
• Work directly with raw and structured data to troubleshoot discrepancies, reconcile metrics, and ensure consistency across reporting sources.
• Develop and maintain quality dashboards, scorecards, and operational reports using tools like Power BI and Excel to track performance over time.
• Build and enhance data validation and QA processes
  , ensuring metrics are audit‑ready, consistent, and aligned across systems.
• Partner with cross‑functional teams (Field Sales, Operations, Commissions, Fraud, Data Enablement) to investigate data issues, clarify definitions, and resolve discrepancies
  .
• Translate complex datasets into clear, actionable reporting views that enable stakeholders to monitor performance and make informed decisions.
• Support quality management processes (QMS), audit cycles, and compliance reporting
  , ensuring data accuracy and traceability.
• Leverage tools such as SQL, Excel, Power BI, and AI‑enabled solutions to analyze, automate, and streamline reporting workflows
  .
• Continuously monitor key metrics and performance indicators to identify gaps, improve processes, and reduce risk exposure
  .

• Bachelor's degree in Data Analysis, Risk Management, Data Science, or a related quantitative field (Required).
• 4-7 years of experience solving analytical problems using quantitative approaches (Required).
• 4-7 years of experience reporting and analyzing performance and data visualization (Tableau, Power BI, etc.) (Required).
• 4-7 years of experience in advanced analytics and risk analysis (SQL, quantitative analysis, research, or competitive analysis) (Required).
• Demonstrated ability to build and deliver executive‑level narratives and presentations using structured communication frameworks (Required).
• Experience with analytics tools or programming languages (e.g., SQL, Python) and familiarity with AI‑enabled data analysis (Preferred).
• Experience in telecommunications, risk management, or cross‑functional quality analytics (Preferred).
• Minimum age 18 years.
• Legally authorized to work in the United States.

• Advanced Excel skills
  , including data manipulation, troubleshooting, and reverse engineering data issues.
• Strong experience with SQL for data extraction, validation, reconciliation, and root cause analysis
  .
• Experience building and maintaining Power BI dashboards and operational reporting views
  .
• Experience working with quality assurance processes, QMS frameworks, audit cycles, or compliance reporting
  .
• Ability to work with raw datasets
  , identify inconsistencies, and ensure metric alignment across multiple data sources.
• Experience analyzing sales channel or operational data
  , tracking performance over time, and translating it into clear reporting.
• Experience in telecommunications, operations analytics, or quality‑focused environments.
• Familiarity with AI‑enabled tools (e.g., ChatGPT) to support analysis and reporting workflows.

• Data Analysis & Validation
  :
  Strong ability to work hands‑on with data, identify discrepancies, and ensure data integrity.
• Quality Assurance Mindset
  :
  Understanding of quality metrics, QA processes, and audit‑ready reporting.
• Data Visualization & Reporting
  :
  Skilled in building dashboards and reports that clearly communicate performance trends.
• Technical Problem Solving
  :
  Abili…